Sinan Aral is a leading expert on Social Networks, Social Media and Digital Strategy. He is an Assistant Professor and Microsoft Faculty Fellow at the NYU Stern School of Business and Affiliated Faculty at MIT. He has worked closely with Facebook, Yahoo, Microsoft, IBM, Cisco, Intel, Oracle, SAP and many other leading Fortune 500 firms on realizing business value from social media and information technology investments. Among his several lines of research, Dr. Aral has done notable work studying how information diffusion in massive online social networks influences demand patterns, consumer e-commerce behaviors and word of mouth marketing. Sinan is a Phi Beta Kappa graduate of Northwestern University, holds masters degrees from the London School of Economics and Harvard University, and received his PhD from MIT. You can find him on Twitter @sinanaral.
Views: 5692 Data Gotham
Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He is the founder and executive director of DataKind, an organization that brings together leading data scientists with high impact social organizations to better collect, analyze, and visualize data in the service of humanity. Jake was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community, bringing his technical experience from his past work with groups like NASA, DARPA, Google, and Bell Labs to bear on the social sector. Jake's work has been featured in leading academic journals and conferences (PAMI, ICCV), the Guardian, the Stanford Social Innovation Review, and he has been honored as a 2011 PopTech Social Innovation Fellow and a 2012 National Geographic Emerging Explorer. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA.
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Hanna Wallach is an assistant professor in the Department of Computer Science at the University of Massachusetts Amherst. She is one of five core faculty members involved in UMass's newly-formed computational social science research initiative. Prof. Wallach's primary research goal is to develop new machine learning methods for analyzing text and network data arising from complex social processes, including the US political system, the US patent system, and free/open source software development communities. Her research contributes to machine learning, Bayesian statistics, and, in collaboration with social scientists, to the nascent field of computational social science. Prof. Wallach holds a B.A. in Computer Science from the University of Cambridge, an M.S. in Cognitive Science from the University of Edinburgh, and a Ph.D. in Physics from the University of Cambridge. In her not-so-spare time, Prof. Wallach (or Logistic Aggression, as she is better known) likes to put on roller skates and hit people really, really hard.
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Steven E. Koonin was appointed as the founding Director of NYU's Center for Urban Science and Progress in April 2012. That consortium of academic, corporate, and government partners will pursue research and education activities to develop and demonstrate informatics technologies for urban problems in the "living laboratory" of New York City. Prior to his NYU appointment, Dr. Koonin served as the second Under Secretary for Science at the US Department of Energy from May 2009 thru November 2011. In that capacity, he oversaw technical activities across the Department's science, energy, and security activities and led the Department's first Quadrennial Technology for energy. Before joining the government, Koonin spent 5 years as Chief Scientist for BP, where he played a central role in establishing the Energy Biosciences Institute. Koonin was a professor of theoretical physics at Caltech from 1975-2006 and was the Institute's Provost for almost a decade. He is a member of the U.S. National Academy of Sciences and the JASON advisory group. Koonin holds a BS in Physics from Caltech and a PhD in Theoretical Physics from MIT (1975) and is an adjunct staff member at the Institute for Defense Analyses.
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Bob Gleichauf is the Director of Lab41 and Chief Scientist at In-Q-Tel (IQT), an independent, strategic investor that delivers innovative technology solutions to the U.S. Intelligence Community. Prior to joining IQT in 2009 Bob worked at Cisco, WheelGroup, IQ Software, and Datapoint. Prior to that, Bob spent time in Africa and the University of Michigan pursuing a PhD (which he did not complete) in early human prehistory. What he did not fully appreciate at the time was how much time and effort he was expending on signal to noise processing of field data.
Views: 2531 Data Gotham
Matthew is currently the Director of The Art Genome Project at Art.sy. Art.sy's mission is to make all of the world's art accessible to anyone with an Internet connection. Previous to Art.sy, Matthew taught modern and contemporary art history at New York University; Parsons, The New School for Design; and The Museum of Modern Art, New York. Matthew has contributed to various art magazines, journals and books. Kill for Peace, his book concerning american artists' protest against the Vietnam War, will be available in Spring 2013 from University of Texas Press.
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Chris Volinsky is Executive Director of the Statistics Research Department at AT&T Labs-Research. Chris got his PhD in Statistics from the University of Washington in 1997. His research at AT&T focuses on large scale data mining: recommendation systems, social networks, statistical computation, and anomaly detection. In 2009, Chris was a member of the 7-person, 4-country team BellKor's Pragmatic Chaos that won the $1M Netflix Prize, an open competition for improving Netflix' online recommendation system.
Views: 2391 Data Gotham
Liz Crawford is the CTO at Birchbox (http://www.birchbox.com). Birchbox is the leading global discovery retail company, offering men and women a personalized way to discover and shop for the best beauty, grooming and lifestyle products. Liz has published papers on topics ranging from Machine Learning and Natural Language Processing to Intelligent Tutoring Systems and Robotics. She has a PhD in Computer Science from Carnegie Mellon and is a co-organizer of CTO School.
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Nik Bonaddio is the CEO and founder of numberFire, a next generation sports analytics framework that uses advanced data analytics and predictive modeling to power smarter content, more accurate projections, and a truly social fan experience. Before founding numberFire, Nik was the Creative Director at WorkMarket (USV/Spark Capital) and Spongecell (Halo/IPG). Nik is an honors graduate of Carnegie Mellon University and the Heinz School of Management at Carnegie Mellon University.
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Justin is an Engineer Manager for the Places team at Facebook where he helps curate and build from their rich structured object graph. Before joining Facebook, Justin lead the data team at foursquare, a team that consisted of Engineers and Data Scientists solving large scale data problems as foursquare's dataset grew from less than a million check-ins to over 1.5 billion. Prior to that, Justin worked at a couple of financial companies as a quantitative analyst, building custom portfolios and doing modeling and risk analysis, specializing in high-frequency, derivatives, and commodities trading. Justin holds a BS in Computer Science with a minor in Mathematics from the University of Rochester and has studied graduate-level Math and Computer Science at Columbia University. He is constantly chasing the biggest and most interesting datasets and trying to craft them into great products.
Views: 502 Data Gotham
Adam Laiacano, Tumblr - Adam is a data scientist/engineer at Tumblr, a blogging platform with over 60 million blogs. He's responsible for collecting and analyzing data analysing large volumes of data to gain a better understanding of trends within the tumblr community. Before joining tumblr, he designed signal detection systems in ultra low-power atomic clocks. Fred Benenson, Kickstarter - Fred is the data engineer at Kickstarter, a funding platform for creative projects. His interests include LEFT JOINs, Hadley Wickham's R libraries, and building self service data tools. His first Kickstarter project was Emoji Dick, a project to fund a Mechanical Turk powered translation of Moby Dick into emoji. He has a masters from NYU's Interactive Telecommunications Program and BA in philosophy and computer science from their undergraduate college. In a former life, he was a copyright activist and worked for Creative Commons while helping start the students for free culture movement. Roberto Medri, Etsy - Roberto is the Group Manager for Analytics at Etsy, the world's leading marketplace for independent creative businesses. Roberto and team use the wealth of data Etsy has to help the company make good decisions along all stages of the product lifecycle, from revenue insights and scouting of opportunities, to building and instrumenting products, to tracking, visualizing, and improving performance through experimental design. Roberto joined Etsy in the summer of 2010 and graduated in 2011 as a Palmer Scholar from The Wharton School at the University of Pennsylvania, where he focused on customer analytics. Previously, Roberto worked across Europe for Bain & Company, a management consulting firm. He holds a BA in Humanities and an MA in Economics from Bocconi University in Milan. Roberto grew up in Lake Como, Italy.
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Lauren Talbot worked as the Chief Programmer with the Mayor's Office of Data Analytics of the City of New York from 2011 to 2013, where she worked on a wide variety of projects geared towards improving operational efficiency and targeting high risk areas using the City's existing data resources, with a particular focus on public safety. Prior to joining the Mayor's Office, Lauren worked at Acumen LLC, a company providing consulting and research services to national, state, and local governments. She is now attending the Cornell Tech program in Computer Science in Manhattan.
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Jeff Hammerbacher is a founder and the Chief Scientist of Cloudera, and an Assistant Professor at the Icahn School of Medicine at Mount Sinai. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to founding Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University.
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James Tichenor is the Co-Chief of Rockwell Group's LAB. His expertise in architecture and electronics allow him to develop the hardware and tools necessary to create the LAB's innovative, interactive spaces and experiences. Trained as an architect at the New Jersey Institute of Technology, James returned to school in 2002 for a Masters in Design and Computation from the MIT School of Architecture where he studied the intersection of design, electronics and materials, and then continued his research for another Masters from the Interaction Design Institute of Ivrea in Italy. Joshua Walton is the Co-Chief of Rockwell Group's LAB. He works primarily in reactive video, programmatic motion graphics, and interactive architecture. Before coming to Rockwell Group, Joshua worked with award winning museums, design firms, and interaction studios in New York and San Francisco. In 2000 he was part of a team that received a presidential teaching award for their work with at-risk youth in San Francisco. Joshua received his Masters degree from the Cranbrook Academy of Art where his work focused on non-linear narrative in new media.
Views: 570 Data Gotham
Huseyin Oktay is a data enthusiast living not-too-far from Gotham City. He is a Ph.D. Candidate in the School of Computer Science at UMass Amherst (targeting to finish very soon). His interests lie in the intersection of machine learning, social science and social media coupled with lots of data. He has done work on generative graphical models for inferring latent demographic information, large-scale graph mining with MapReduce framework (e.g., graphs with billions of edges), and causal discovery on social media. You can find him on Twitter @hoktay.
Views: 699 Data Gotham
Deborah Berebichez is the Vice President of Risk Analytics at MSCI. In addition to her work in risk analysis, Dr. Berebichez holds a Ph.D. in theoretical physics from Stanford University. After completing her doctorate, she conducted further research at Columbia University's Applied Physics and Applied Mathematics department and New York University's Courant Institute for Mathematical Sciences. She is an expert in wave propagation in inhomogeneous media as well as in optimization, and is an inventor of a new technique to localize wireless signals in specific locations in buildings. Apart from her work at MSCI, Dr. Berebichez continues to work on developing videos, articles and public communications programs that help to bring science to all.
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As a User Interface Designer and one of the first employees at YouTube, Hong Qu designed, coded, and launched vital parts of the site such as the homepage, sharing tools, channels and video responses. Additionally, Hong conducted UX Research with various teams at Google. In 2012, he led the product team at Upworthy from its inception. His responsibilities included driving user acquisition, virality, and engagement. Hong has a liberal arts degree from Wesleyan University and a Master's degree from UC Berkeley's School of Information with a focus on social computing and mobile interface design.
Views: 283 Data Gotham
Cathryn Posey is the founder of Tech By Superwomen and an award-winning digital marketer in advertising, brand management, social media, sales and marketing. Cathryn is a recognized authority on issues impacting women in tech and has spoken multiple times at SXSW. She was a part of team Open Judge, recently featured on NPR for their data visualization project that took first place during Code For America's first annual data hackathon. She is also a social media strategist at Adobe. You can connect with Cathryn on Twitter - @catpoetry.
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Blake Shaw is currently a Data Scientist at Foursquare, a location-based service that helps people keep up with friends and discover new places. At this NYC startup, Shaw applies machine-learning algorithms to large spatiotemporal datasets in order to better understand patterns of human mobility. Shaw holds a Ph.D. in Computer Science from Columbia University, and his research has appeared at a variety of conferences including NIPS, ICML and AISTAT. Shaw was also the lead developer of CabSense, a mobile app for predicting the best street corners in New York City for catching taxicabs.
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Saad Gulzar is a Ph.D. student at the Department of Political Science at New York University. His research focuses on the political economy of service delivery and patronage, which he studies through field experiments in health, livestock and justice provision in Pakistan. Before starting the Ph.D., Saad was an economist at the LSE and Oxford University's International Growth Center in Pakistan. He holds masters degrees from Columbia University and the National University of Singapore and is a graduate of the Lahore University of Management Sciences. You can find him on Twitter @saadgulzar.
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Harlan Harris' presentation at DataGotham 2012. Harlan D. Harris is a Senior Data Scientist at Kaplan Test Prep, the Co-Founder and Co-Organizer of the Data Science DC Meetup, and the Co-Founder and President of Data Community DC, Inc. He has a PhD in Computer Science (Machine Learning) from the University of Illinois at Urbana-Champaign and worked as a researcher in several Psychology departments before turning to industry.
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Kinshuk Mishra is a Software Engineer at Spotify. He works on the data and backend systems of the Ad platform at Spotify. Prior to Spotify he has worked on data and backend systems at Amazon and Expedia. He has MS in Computer Science from Georgia Tech. You can find him on twitter @_kinshukmishra
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Josh Schwartz leads the data science team at Chartbeat. He focuses on applications of machine learning and optimization to help major media companies — such as The New York Times, CNN, ESPN, and the Financial Times — grow their audience. Before being tempted away from academia, he studied toward a Ph.D. in computer science at Cornell and M.I.T., where he researched problems in computer vision and machine learning. He occasionally tweets as @joshuadschwartz.
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Steve Ritter is the Director of Research & Development at SeatGeek, the web's largest event ticket search engine. He is responsible for leveraging a wide array of market data and user behavior into improved ticket shopping and event discovery experiences. Steve has extensive experience pursuing transparency in opaque markets and developing pricing and liquidity models for unique market structures in both finance and consumer web arenas. Steve earned his B.S. in Mathematical and Computational Science from Stanford University.
Views: 684 Data Gotham
Baratunde Thurston is a politically-active, technology-loving comedian from the future. He co-founded the black political blog, Jack and Jill Politics and served as Director of Digital for The Onion before launching the comedy/technology startup Cultivated Wit. Then-candidate Barack Obama called him "someone I need to know." Baratunde travels the world speaking and advising and performs standup regularly in NYC. He resides in Brooklyn, lives on Twitter and has over 30 years experience being black. He writes the monthly backpage column for Fast Company, and his first book, How To Be Black, is a New York Times best-seller.
Views: 722 Data Gotham
Dan Chapsky is a data scientist at Snap Interactive, the company behind the social dating site AYI.com. There he works on data driven projects such as matching people based on their interests, predicting user subscription rates and automated Kardashian trend detection. Prior to working at SNAP, Dan received his Bachelor's degree from Hampshire College where he did his undergraduate thesis work on using Facebook data to predict individual's scores on a personality test. He tweets from @ChappedSky
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Victor Hu is the Data Scientist at Next Big Sound, a music industry platform for monitoring artist and fan behavior data across social media, radio, and traditional sales channels. He utilizes machine learning algorithms to uncover useful trends and insights for labels, agents, managers, and artists themselves to navigate the modern music industry. Before joining Next Big Sound, Hu worked for the U.S. Department of Defense and the New York Yankees. He received his bachelor's and master's degrees from Harvard University.
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Alicia is the Head of Research and Fan Insights for the National Football League. Alicia joined the NFL in October 2007 to oversee the research department. NFL football is the most popular sport in America with nearly 200 million fans and in her role, she is responsible for understanding and increasing that fan base and strategically expanding the NFL brand into other growth opportunity businesses. Prior to the NFL, she spent 7 years at ESPN. In the course of her twenty-year career, she has managed market research studies and consulting engagements covering 26 different countries worldwide. Alicia graduated from Lehigh University with a B.S. in Marketing.
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Igor Elbert is a Principal Data Scientist at Gilt, where he applies machine learning to study Gilt's unique customer base and offer fresh insights to partner brands. Prior to joining Gilt, Igor worked as a Vice President of Quantitative Analytics at Barnes & Noble, where he used deep analytics and his passion for reading to study loyalty and customer behavior. From calculating financial risk for Salomon Brothers to tracking movements of millions of items across the supply chain for major brands, Igor has been pushing innovative data analysis to new frontiers for more than 20 years. His current passion is a guided discovery. You can contact him via http://linkedin.com/in/igorelbert
Views: 615 Data Gotham
Franc Camps-Febrer is the data storyteller at Knewton in New York, an adaptive learning platform. At Knewton he explores student data to find the narrative that will help students and teachers improve a data-driven educational experience. He received his bachelor in Physics from Universitat Autonoma de Barcelona, and, after working as a teacher for several at-risk populations in metropolitan Barcelona, he got a MSc in Developmental Neuroscience at CUNY with a research focus on creativity and neuroesthetics. During his master he started developing an interest in data visualization, and shortly after Knewton became the place where all his experiences could be explored together.
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Panelist: Harlan Harris (Data Community DC) Noel Hidalgo (Code for America) Matt Turck (FirstMark Capital & Data Driven NYC / Hardwired NYC) Moderator: Jon Bruner (O'Reilly Media)
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Andy (@andy_wrote) is a data scientist at Custora, where he helps develop a platform that offers retailers insights about the value of their customers and ways to keep them coming back. He works mainly in Ruby (i.e. Rails) and R, though he retains a fondness for Python. Prior to Custora, he traded exotic equity derivatives at Citigroup for several years. He has an AB in economics from Harvard. In his free time he enjoys soccer, indie music, and board games with strategic rules and small-cut wooden pieces.
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Brian is a practicing data scientist with 12 years of modeling experience, ranging from high energy particle physics to online advertising. Over the past 4 years, Brian has been a lead researcher in developing m6d's patent pending machine learning technology, taking the company from pre-revenue stage to supporting 100s of concurrent client campaigns. Brian's current research interests include building autonomous machine learning systems over big data architectures, causal inference and influence attribution. Brian is an active member of the ACM SigKDD community and served as a co-chair for the 2012 and 2013 KDD Cup competitions. Prior to joining m6d, Brian was a Senior Research Analyst at Meetup.com, exploring the dynamics of group evolution and development, and before that, a credit risk modeler for American Express. Brian holds an MBA with a concentration in Statistics from NYU and a BS in Mathematics and French Literature from Rutgers University. When not solving research problems, Brian moonlights as a professional drummer for the indie rock band Coastgaard.
Views: 634 Data Gotham
Jeremy Stanley is the Chief Technology Officer at Collective, a top digital advertising technology company. Collective uses data science to intelligently connect brands to audiences with personalized experiences across display, video, mobile and connected TV. At Collective, Jeremy leads technology development and the application of data science to optimization, research and audience products. Collective is at the forefront of big data in ad technology, processing terabytes of structured data daily on over 250 million user profiles. Automated systems build thousands of predictive models every week and make hundreds of billions of predictions about users every day. Prior to joining Collective, Jeremy was a Senior Manager at Ernst & Young (E&Y), where he created and led a global analytics group which was responsible for improving the company's market facing operations and services through the use of data science. Jeremy's background in the practical application of machine learning spans more than 10 years, and was honed while consulting at E&Y with top consumer financial services
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Roban Kramer is a data scientist at Hightable, a site that helps entrepreneurs gather and share expertise. At Hightable, Roban applies machine-learning and Bayesian modelling techniques to connect entrepreneurs with business problems to professionals with the most relevant first-hand experience and knowledge. Before joining Hightable, Roban was a professional astrophysicist at the Swiss Federal Institute of Technology (ETH Zurich), using probabilistic inference to study the early universe and quasars (huge emissions of energy powered by the super-massive black holes at the centers of galaxies). Roban has a PhD in Astronomy from Columbia University, and a BA in Astrophysics from Swarthmore College.
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Michael P. Flowers is the Director of both New York City's Policy and Strategic Planning Analytics Team, which has been leading the charge on data analytics for government, and the Mayor's Financial Crime Task Force (FCTF), which seeks to enable the City of New York to prevent, detect, and respond to financial crimes that pose a threat to the economic stability of New Yorkers and their businesses.
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Chris is a data analyst at Meetup.com, where he uses Python for data exploration and predictive modeling. He received his BA from Washington University in St. Louis in statistics and economics. He organizes a data Meetup in NYC: nydatameetup.com
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Gilad is the Chief Data Scientist at betaworks, a technology company that operates as a studio, building new products, growing companies and seed investing. Previously, Gilad ran the data team at SocialFlow and built visualizations at Microsoft's FUSE Labs. His past work includes 'Retweet Revolution', visualizing the flow of information during the 2009 #IranElection riots, and a study investigating the relationship between mainstream media and social media channels during the Tunisian and Egyptian revolutions. Gilad is an advisor for media entities, including the Poynter Institute and the Tow-Knight Center at the Columbia J-School. His work has been covered by the New York Times, the Guardian, Fast Company and the Atlantic Wir
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Larry Buchanan is a journalist, designer, illustrator and (by some standards) coder. He makes ridiculous graphics for McSweeney's and more serious ones for the New Yorker (like that subway one). He's done work for the fine folks at ESPN, the Onion, Nike, and the New York Times. He teaches design to non-designers and code to non-coders at General Assembly and is terrified by the thought of talking to a group of data scientists. He lives in Brooklyn and recently won the Gowanus Canoe Dredger's annual canoe race on one of America's most polluted waterways. Yes, it smelled. No, we didn't die. Follow @larrybuch for gratuitous use of the word 'awesome'.
Views: 953 Data Gotham
Mark Kesslen is the Chair of the Intellectual Property Section of the Tech Group at Lowenstein Sandler. He provides strategic guidance and counseling to technology-based businesses in intellectual property and privacy law to venture-backed companies in digital and social media, software, and fintech space; as well as research and development entities including universities and major financial service and medical device companies.
Views: 341 Data Gotham
Max Shron - Max Shron is a Data Strategy consultant based in New York. He provides mentorship to organizations of all sizes on the topic of understanding, exploring, modeling and presenting data. Prior to striking out on his own, he led OkCupid's Data Science efforts, providing big data support for the well-known OkTrends blog. In addition to his work for clients and employers, his analyses of transit, public health, and home foreclosure have been featured in the New York Times, Chicago Tribune, Huffington Post, WNYC, and more. Oliver Hurst-Hiller, DonorsChoose - Oliver is responsible for the technology and user experience that power DonorsChoose.org's unique philanthropic marketplace. During his tenure, the org has delivered $100MM+ in resources to 6M+ students and was named one of the World's 50 Most Innovative Companies by Fast Company. In 2011, the Microsoft Alumni Foundation honored Oliver with the Integral Fellows Award. Prior to joining the DonorsChoose team in 2006, Oliver managed product engineering projects for Microsoft's new search engine, now called Bing. He also helped start Microsoft Live Labs, an applied research laboratory for Internet technologies, and is the co-inventor of 11 issued U.S. patents related to Internet search technologies. Oliver joined Microsoft when the Windows division acquired EQuill, a venture-backed startup that he co-founded and led for three years as CEO. He has a Computer Science degree from Brown University. Jay Garlapati, DonorsChoose - Jay is a Data Scientist at DonorsChoose.org, an online philanthropic marketplace. He analyzes the wealth of data at DonorsChoose.org to help the site better serve teachers and donors and to uncover findings that could improve the education system in America. Prior to joining DonorsChoose, Jay was an Edward A. Knapp fellow at the Santa Fe Institute where he studied evolutionary game theory. He graduated from the University of Chicago with a B.S. in Mathematics.
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William J. Fritz, PhD, is serving as Interim President of the College of Staten Island, The City University of New York since 2012. He is also a Professor of Geology and a member of the Earth and Environmental Sciences Doctoral Faculty at the CUNY Graduate Center. Dr. Fritz has authored Roadside Geology of Yellowstone Country and Basics of Physical Stratigraphy and Sedimentology and more than 50 scholarly publications. He presented "Storm Surge Model for New York, Connecticut, and Northern Waters of New Jersey with Special Emphasis on New York Harbor" at the 2012 Geological Society of America's Annual Meeting and Exposition in Charlotte, North Carolina, a report written June 2012 and presented the week after Sandy hit New York City. Dr. Fritz leads a team of researchers on Superstorm Sandy and has presented his Five Point Plan at many events.
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Julian Burgess is a New York based interactive developer with Bloomberg's Visual Data team, where he collects, cleans and examines data sets in order to generate visualizations that reveal the stories they contain. He previously worked at The Guardian, The Times of London, and the Associated Press, where he helped build the prototype for the 2011 Knight News Challenge-winning "Overview" project. He has a degree in Computer Science from King's College London.
Views: 375 Data Gotham