Matt Turck, a Managing Director of FirstMark Capital, focuses on investments in the enterprise, data, fintech and education sectors. Prior to FirstMark, Matt was a Managing Director at Bloomberg Ventures, the investment and incubation arm of Bloomberg LP. Previously, Matt was the co-founder of TripleHop Technologies, an enterprise search software startup acquired by Oracle. Matt is the founder of the NYC Data Business Meetup, the largest big data event in NYC, and a mentor in a number of startup accelerator programs (Techstars, NYC Venture Fellows, ERA, Dreamit, First Growth Venture Network).
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.
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.
Harlan D. Harris (@HarlanH) is a data scientist with experience in predictive modeling, software design, statistics, social science, operations, marketing, and simulation. He currently is a Sr. Solutions Architect at Sentrana, Inc. in Washington, DC, is 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 from the University of Illinois at Urbana-Champaign and worked as a researcher in several Psychology departments before turning to industry.
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.
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
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.
Brad Rosen is a lecturer in the Computer Science department at Yale University. He teaches classes that focus on the intersection of law, technology, privacy, and culture. (www.yalelawtech.org, @yalelawtech) He is a full time practicing lawyer, in private practice in New York. Brad has a B.S. and M.S. from Yale and a J.D. from Harvard Law School.
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.
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.
Lauren is a data guru with over 20 years experience in data strategy, science, and creation in different information and technology industries. She began her career at DRI/McGraw Hill as an economist providing industry forecasts for the Energy sector before earning her PhD in Economics at Brown University. Although relishing her teaching gigs, and research in corporate governance, Lauren was drawn to the expanded usage of the internet to provide information and services, taking on a content operations and technology role at OneSource Information Services. At OneSource, Lauren headed up the integration of a data collection acquisition before managing the licensing and implementation of NLP software to provide structured tagging to volumes of unstructured news. At Media6Degrees (m6d) she is focused on creating the analytics strategy for ad tech products and services across all media channels. m6d recently acquired, EveryScreen Media, a start-up mobile RTB and audience technology company, where Lauren led the vision and development of all things data science.
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.
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'.
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.
Noel Hidalgo is an Eagle Scout, an activist, technologist, and organizer. For the last 15 years, he has explored innovative technologies that bring us together. His work has focused on building communities, opening government, and transforming organizations. He co-founded BetaNYC, NYC’s open government and civic technology advocacy brigade, and NYC's Drupal Users Group. He has helped cement unconferences and hackathons and co-founded one of NYC's first coworking facilities. He is a former NYC taxi cab driver. Currently, Noel works for Code for America's Brigade Program and organizes BetaNYC.
In 2009 he provided Legislators and constituents a suite of 21st Century tools by relaunching NYSenate.gov. In 2011, he was an inaugural member of the New York City Transparency Working Group, a network of NYC civic groups who advocate for greater transparency in government. In 2012, nycTWG lobbied for NYC Local Law 11 of 2012, America's premier municipal Open Data law.
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.
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.
Billy joined Goldman Sachs in Aug 2011 as a Technology fellow after 10 years at IBM where he was a Distinguished Engineer in the WebSphere organization. Billy specializes in real time data warehousing architectures and technologies at Goldman Sachs. Billy was a consultant for 13 years prior to joining IBM and graduated with a first class honors Degree in Applied Computing from Waterford Institute of Technology in Ireland in 1989. Billy’s hobbies include ultramarathon running, amateur radio (KD2DKQ), and motor racing.
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.
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 Wire.
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.
Matt Wallaert is a behavioral scientist and entrepreneur who works at the intersection of technology and human behavior. After two successful startups, he joined Microsoft’s Bing to focus on adapting technologies to work naturally with existing paradigms of behavior to aid in both decision making and task completion, and to broaden how search removes obstacles and enables people to take action on their ideas, questions, and desires.
A proponent of dual process theory, Wallaert is a passionate advocate for a methodological approach to behavior change using technology. In his spare time, he advises startups and creates socially-focused side projects like GetRaised.com, a free service that helps women ask for, and get, pay raises to close the gender wage gap.
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.
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
Manoush Zomorodi is the host and managing editor of WNYC’s New Tech City. From 1995-2006 Manoush reported and produced for BBC News, with postings in Washington, Berlin, Brussels, and New York. As a freelance reporter and anchor, she covered business and technology for Reuters Television in New York from 2006-2010. She is the author of the multimedia ebook CAMERA READY: How to Present Your Best Self and Ideas On-Air or Online and blogs at manoushz.com. Follow her @manoushz. Check out the podcast at itunes.com/newtechcity
Katya is a PhD Economist (University of Maryland) and Earth Institute Fellow at Columbia University. She specializes in behavioral and micro economics. Her work is applied to much of the developing world, having run randomized control trials for the World Bank, Clinton Foundation, and other development organizations, as well as online consumer behavior, having served as the VP of Analytics for Troopswap (now ID.me). Before that, she taught statistics at the US Naval Academy.
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
David Fauth is a Systems Engineer at IntelliWare Systems. In his day job, he is rolling out advanced analytical platforms in the Intelligence Community. He works on everything from requirements to policy to data needs and implementation. In his spare time, he is working on various projects such as graphing the Federal Election Campaign data using Mortar and Neo4J. He's also worked on DocGraph, a social graph of medicare referrals. He has his MS in Information Systems from George Mason University. You can find him on twitter @davefauth
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.
Q Ethan McCallum (@qethanm) works as a professional-services consultant, with a focus on strategic matters around data and technology. He is especially interested in helping companies build and shape their internal analytics practice. Q is also engaged in a number of projects, ranging from open-government/civic-data collaborations to open-source software tools. His published work includes 'Parallel R: Data Analysis in the Distributed World' and 'Bad Data Handbok: Mapping the World of Data Problems'. He is currently working on a new book on time series analysis, and another on building analytics shops ('Making Analytics Work'). http://qethanm.cc/
K Young co-founded Mortar Data with a mission to democratize usage of data by addressing its biggest challenges: learning curve, scaling, reproducibility, and collaboration. Mortar won Grand Prize in AWS's Global Startup Competition, and today data scientists use their platform-as-a-service and free, open source framework for everything from large-scale log analysis to recommender systems.
Prior to founding Mortar Data, K built software that reaches one in ten public school students in the U.S. He holds a BA Computer Science from Rice University.
Adi Kamdar is an activist at the Electronic Frontier Foundation specializing in patent, free speech, intermediary liability, and consumer privacy issues. He also coordinates student activism and open access advocacy. He was chapter president and a member of the board of directors of the advocacy group Students for Free Culture. Previously, he interned at EFF, at the Berkman Center for Internet and Society, and with the Open Video Alliance. In his free time, he enjoys improv, music, things that are delicious, and being outdoors.
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.
Krista was an intern on the data science team at Bitly, working on creating visualizations and dashboard to increase business intelligence. She also worked on developing real time visualizations of user behavior, studying geographic trends in media viewership across the US. She is currently finishing her B.S. in Computer Engineering from The George Washington University and doing research on patterns of media usage during times of international conflict and political turmoil.
Sebastián Pérez Saaibi co-founded Aentropico with a mission to democratize predictive analytics for non experts. Aentropico is a Colombian startup, made with love from Latin American cities like Bogotá, Santiago and Rio de Janeiro. By tackling the long tail of analytics, they provide data-driven intuition to solve acute business concerns, such as customer segmentation, product recommendations and inventory management.
Sebastián held a Network Fellowship at the E.J. Safra Center for Ethics at Harvard University, applying network science to understand and monitor institutional corruption. He holds a MSc in Computational Science and Engineering from ETH Zürich. He tweets from @spsaaibi.
Max Sklar is an engineer and a machine learning specialist. At Foursquare, his continuing objective is to make the app smarter and more interesting. Over the last two years, Max has spearheaded the effort to apply Natural Language Processing technology to Foursquare’s user-generated text corpus. He has spoken at a variety of conferences and meetups in New York’s tech scene, and has been an adjunct instructor for NYU’s data structures course for four semesters. He holds an M.S. in Information Systems from NYU, and a B.S. in Computer Science from Yale, and can be found on Twitter @maxsklar.
Phil Kim is head of the New York office and the Big Data Program for Capital One Labs, the digital innovation group that is helping Capital One re-imagine the way that consumers interact with their money. Previously, he was CTO and Head of Product for Bundle, a NYC-based data analytics startup acquired by Capital One in late 2012. Phil earned his BS and MEng degrees in CS from MIT with a focus on Artificial Intelligence, and has an MBA from Harvard Business School.
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.
Solomon is a New York based developer, doodler and personal historian. He is in charge of analytics and business intelligence at Paperless Post, a New York based startup. Before Paperless Post, Solomon worked in the financial industry. He has a degree in operations research from Columbia University.
Jon Bruner is a data journalist who approaches questions that interest him by writing and coding. Before coming to O'Reilly, where he is editor-at-large, he was data editor at Forbes Magazine. He lives in New York, where he can occasionally be found at the console of a pipe organ.