Alexandra Johnson
Citrine Informatics
AI Product Manager
Alexandra Johnson
Citrine Informatics
AI Product Manager
Alexandra is an AI Product Manager at Citrine Informatics, with 5 years of experience building tools for people who build AI / ML Models. Most recently, she worked as a tech lead for SigOpt, redesigning their core hyperparameter optimization API, and launching a machine learning infrastructure offering, both of which were topics for her previous […]
Arron Roth
University of Pennsylvania
Aaron Roth, Associate Professor
Arron Roth
University of Pennsylvania
Aaron Roth, Associate Professor
Aaron Roth is an Associate Professor of Computer and Information Sciences at the University of Pennsylvania, affiliated with the Warren Center for Network and Data Science, and co-director of the Networked and Social Systems Engineering (NETS) program. Previously, he received his PhD from Carnegie Mellon University and spent a year as a postdoctoral researcher at […]
Byron Galbraith
Talla
Chief Data Scientist
Byron Galbraith
Talla
Chief Data Scientist
Byron Galbraith is the Chief Data Scientist and co-founder of Talla, where he works to translate the latest advancements in machine learning and natural language processing to build AI-powered conversational agents. Byron has a PhD in Cognitive and Neural Systems from Boston University and an MS in Bioinformatics from Marquette University. His research expertise includes […]
Rajat Monga
Google
Engineering Director, TensorFlow
Rajat Monga
Google
Engineering Director, TensorFlow
Rajat Monga leads TensorFlow, an open source machine-learning library and the center of Google’s efforts at scaling up deep learning. He is one of the founding members of the Google Brain team and is interested in pushing Machine Learning research forward towards General AI. Prior to Google, as the chief architect and director of engineering […]
Stephanie deWet
Pinterest
Software Engineer
Stephanie deWet
Pinterest
Software Engineer
Stephanie deWet is a software engineer at Pinterest on the homefeed team, where she builds personalized blending models and recommendations. She earned a MS in Computer Science from the University of Wisconsin in 2014. Prior to that, she spent 4 years developing realtime simulations at L-3 Communications.
Dr. Jennifer Prendki
Figure Eight
VP of Machine Learning
Dr. Jennifer Prendki
Figure Eight
VP of Machine Learning
Dr. Jennifer Prendki is the founder and CEO of Alectio, the first startup focused on DataPrepOps, a portmanteau term that she coined to refer to the nascent field focused on automating the optimization of a training dataset. She and her team are on a fundamental mission to help ML teams build models with less data (leading to […]
Harm van Seijen
Maluuba
research scientist
Harm van Seijen
Maluuba
research scientist
Harm van Seijen is a research scientist at Maluuba. His research is centered on reinforcement learning, with the goal of addressing the fundamental machine learning challenges related to natural conversations between humans and bots. Prior to Maluuba, Harm worked as a postdoc at the University of Alberta, working alongside professor Richard Sutton on novel reinforcement […]
Brian Lucena
Metis
Senior Data Scientist
Brian Lucena
Metis
Senior Data Scientist
Brian Lucena is currently a Senior Data Scientist at Metis, where he teaches data science bootcamps and conducts corporate training. He previously was the Senior VP of Analytics at PCCI where he led a team of data scientists building real-time predictive models for clinical decision support. Before that he was Chief Mathematician at Guardian Analytics, […]
Anjuli Kannon
Google Brain
Software Engineer
Anjuli Kannon
Google Brain
Software Engineer
Anjuli Kannan is a software engineer on the Google Brain team. She is interested in machine learning and its application to problems in natural language understanding. Recently she was a core member of the team that brought Smart Reply to Inbox by Gmail.
Alex Dimakis
University of Texas at Austin
Associate Professor
Alex Dimakis
University of Texas at Austin
Associate Professor
Alex Dimakis is an Associate Professor in the Electrical & Computer Engineering department at The University of Texas at Austin. Prof. Dimakis received his Ph.D. in 2008 and M.S. degree in 2005 in electrical engineering and computer sciences from UC Berkeley and the Diploma degree from the National Technical University of Athens in 2003. During […]
Viriginia Smith
UC Berkeley
Researcher
Viriginia Smith
UC Berkeley
Researcher
Virginia Smith is a 5th-year Ph.D. student in the EECS Department at UC Berkeley, where she works jointly with Michael I. Jordan and David Culler as a member of the AMPLab. Her research interests are in large-scale machine learning and distributed optimization. She is actively working to increase the presence of women in computer science, […]
Daniel Shank
Talla
Senior Data Scientist
Daniel Shank
Talla
Senior Data Scientist
Daniel Shank is a Senior Data Scientist at Talla, a company developing a platform for intelligent information discovery and delivery. His focus is on developing machine learning techniques to handle various business automation tasks, such as scheduling, polls, expert identification, as well as doing work on NLP. Before joining Talla as the company’s first employee […]
Michael Alcorn
Red Hat
Sr. Software Engineer
Michael Alcorn
Red Hat
Sr. Software Engineer
Michael first developed his data crunching chops as an undergraduate at Auburn University (War Eagle!) where he used a number of different statistical techniques to investigate various aspects of salamander biology (work that led to several publications). He then went on to earn a M.S. in evolutionary biology from The University of Chicago (where he […]
Sven Kriess
Wildcard
Lead Data Scientist
Sven Kriess
Wildcard
Lead Data Scientist
Sven Kreiss (PhD) is the Lead Data Scientist at Wildcard. He is in charge of the company’s data science efforts including structured content extraction from unstructured websites. He is architecting Wildcard’s data analysis tools and machine learning models. Sven’s background is in model building and large-scale statistical inference for Particle Physics where he holds a […]
Jean-Francios Puget
IBM Machine Learning and Optimization
Technical Lead
Jean-Francios Puget
IBM Machine Learning and Optimization
Technical Lead
Jean-François is currently the technical lead for IBM Machine Learning and Optimization offerings. He holds a PhD in machine learning from Paris IX University and has spent his entire career turning scientific ideas into innovative software. Jean-Francois joined IBM as part of the ILOG acquisition and since then has held various technical executive positions, including […]
Guy Lebanon
Netflix
Director, Machine Learning & Data Science
Guy Lebanon
Netflix
Director, Machine Learning & Data Science
Guy Lebanon works on personalizing Netflix’s homepage and optimizing the assets that are used to represent different videos. Before that he lead LinkedIn’s news-feed personalization team and Amazon’s Seattle machine learning team. Prior to that Guy was a tenured professor at the Georgia Institute of Technology. Guy published several books and over 70 refereed articles […]
Geetu Ambwani
Huffington Post
Principal Data Scientist
Geetu Ambwani
Huffington Post
Principal Data Scientist
Geetu Ambwani, Principal Data Scientist, Huffington Post, presented at MLconf NYC 2016
Elena Grewal
AirBnb
Data Science Manager
Elena Grewal
AirBnb
Data Science Manager
Elena Grewal is a Data Science Manager at Airbnb, currently leading Airbnb’s team of data scientists, analysts, and visualization specialists. The team partners with the product team to understand and optimize all parts of the product, using techniques of machine learning in a wide variety of contexts. Examples include price prediction, payments routing optimization, lead […]
Daria Sorokina
Amazon Search
machine learning scientist
Daria Sorokina
Amazon Search
machine learning scientist
Daria Sorokina is a machine learning scientist at Amazon Search who enjoys working with large complex data sets. She joined A9.com (Amazon subsidiary in Palo Alto, California) in 2014 and currently she is a member of relevance features team, where she is involved in projects for browse ranking and search for digital and fashion products. […]
Igor Markov
Facebook
Research Scientist
Igor Markov
Facebook
Research Scientist
Igor Markov is an IEEE Fellow and an ACM Distinguished Scientist. He is currently a research scientist at Facebook working on AI infrastructure. He previously worked at Google Search and was a Professor at the University of Michigan, where twelve Ph.D. degrees were completed under his guidance.
Franziska Bell
Uber
Director of Data Science, Head of Platform Data Science
Franziska Bell
Uber
Director of Data Science, Head of Platform Data Science
Franziska Bell is the Director of Data Science, Head of Platform Data Science at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. In addition, she leads Applied Machine Learning, Behavioral Science, and Customer Support Data Science. Before Uber, Franziska was a Postdoc at Caltech where she developed a novel, […]
Amanda Casari
Google Cloud
DevRel Engineering Manager
Amanda Casari
Google Cloud
DevRel Engineering Manager
Amanda Casari is a DevRel Engineering Manager at Google Cloud. Prior to her role at Google Cloud, she worked as a Senior Data Scientist on the Data Science Team @ Concur, where built products for the Perfect Trip. She randomly walked her way into data science + computational storytelling through control systems engineering, operations research […]
Erin LeDell
h2o.ai
Chief Machine Learning Scientist
Erin LeDell
h2o.ai
Chief Machine Learning Scientist
Erin is the Chief Machine Learning Scientist at H2O.ai. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc. Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from UC Berkeley. Her research […]
Jason Baldridge
People Pattern
co-founder and Chief Scientist
Jason Baldridge
People Pattern
co-founder and Chief Scientist
Jason is co-founder and Chief Scientist of People Pattern and Associate Professor of Computational Linguistics at the University of Texas at Austin. As a professor, Jason works on probabilistic models for categorization and syntax, with a particular emphasis on low-resource languages. He also focuses on methods and applications for connecting linguistic objects to geography and […]
Sam Steingold
Clear
Chief Data Scientist
Sam Steingold
Clear
Chief Data Scientist
Sam Steingold has been doing data science since before it got that swanky name. He is the Chief Data Scientist at Clear. Prior to this role, he was the lead data scientist at Magnetic Media Online and holds a PhD in Math from UCLA. He contributed to various open source projects (e.g., GNU Emacs, CLISP, […]
Kristian Kersting
TU Dortmund University
Associate Professor for Computer Science
Kristian Kersting
TU Dortmund University
Associate Professor for Computer Science
Kristian Kersting is an Associate Professor for Computer Science at the TU Dortmund University, Germany. He received his PhD from the University of Freiburg, Germany, in 2006. After a PostDoc at MIT, he moved to the Fraunhofer IAIS and the University of Bonn using a Fraunhofer ATTRACT Fellowship. His main research interests are data mining, […]
Florian Tramèr
EPFL in Switzerland
Research Assistant
Florian Tramèr
EPFL in Switzerland
Research Assistant
Florian Tramèr is a research assistant at EPFL in Switzerland, hosted by Prof. J-P. Hubaux. He received his Masters in Computer Science from EPFL in 2015 and will be joining Stanford University as a PhD student this Fall. During his Master Thesis, Florian collaborated with researchers at EPFL, Columbia University and Cornell Tech to design […]
Avi Pfeffer
Charles River Analytics
Principal Scientist
Avi Pfeffer
Charles River Analytics
Principal Scientist
Dr. Avi Pfeffer is a leading researcher on a variety of computational intelligence techniques including probabilistic reasoning, machine learning, and computational game theory. Avi has developed numerous innovative probabilistic representation and reasoning frameworks, such as probabilistic programming, which enables the development of probabilistic models using the full power of programming languages, and statistical relational learning, […]
Soumith Chintala
Facebook AI Research
Researcher
Soumith Chintala
Facebook AI Research
Researcher
Soumith Chintala is a Researcher at Facebook AI Research, where he works on deep learning, reinforcement learning, generative image models, agents for video games and large-scale high-performance deep learning. Prior to joining Facebook in August 2014, he worked at MuseAmi, where he built deep learning models for music and vision targeted at mobile devices. He […]
Dr. Ike Nassi
TidalScale
Founder
Dr. Ike Nassi
TidalScale
Founder
Dr. Ike Nassi is the founder of TidalScale, an Adjunct Professor of Computer Science at UC Santa Cruz, and a founding trustee at the Computer History Museum. Previously, Dr. Nassi was an executive vice president and chief scientist at SAP. Before joining SAP, Ike helped start three companies: Encore Computer Corporation, a pioneer in symmetric […]
Furong Huang
UC Irvine
Ph.D. Candidate
Furong Huang
UC Irvine
Ph.D. Candidate
Furong Huang is a 6th year Ph.D. Candidate from UC Irvine working with Professor Anima Anandkumar. Her research interests lie in developing scalable and parallel algorithms for large-scale data using statistical models. She has worked on non-convex function optimization such as finding tensor decomposition using stochastic gradient descent; developing fast detection algorithm to discover hidden […]
Sergei Vassilvitskii
Google
Research Scientist
Sergei Vassilvitskii
Google
Research Scientist
I am a Research Scientist at Google New York. Previously I was a Research Scientist at Yahoo! Research and an Adjunct Assistant Professor at Columbia University. I completed my PhD at Stanford Universty under the supervision of Rajeev Motwani. Prior to that I was an undergraduate at Cornell University.
Damien Lefortier
Criteo
Senior Machine Learning Engineer and Tech Lead in the Prediction Machine Learning team
Damien Lefortier
Criteo
Senior Machine Learning Engineer and Tech Lead in the Prediction Machine Learning team
Damien Lefortier is a Senior Machine Learning Engineer and Tech Lead in the Prediction Machine Learning team at Criteo where he has been actively involved in the development of Criteo’s large scale distributed machine learning library as well as in improving Criteo’s predictive algorithms for ad targeting. Before Criteo, Damien worked 3 years in the […]
Erich Ehlsen
Baidu
Research Scientist
Erich Ehlsen
Baidu
Research Scientist
Erich Elsen is a Research Scientist at Baidu’s Silicon Valley Artificial Intelligence Lab. He leads the High Performance Computing (HPC) group which focuses on techniques for scaling the training of neural networks and increasing the efficiency of their use in deployment. Prior to joining Baidu in September 2014 he was the founder of Royal Caliber, […]
Lei Yang
Quora
Senior Engineering Manager
Lei Yang
Quora
Senior Engineering Manager
Lei is an engineer manager at Quora, leading the feed ranking and content distribution team. She also oversees Quora’s machine learning engineer guild, consisting of machine learning experts and software engineers who use machine learning to solve many challenging problems across the product, such as home feed ranking, related questions, answer ranking, and topic inference. […]
Michael Galvin
Metis
Sr. Data Scientist
Michael Galvin
Metis
Sr. Data Scientist
Michael comes to Metis from General Electric where he worked to establish the company’s data science strategy and capabilities for field services and to build solutions supporting global operations, risk, engineering, sales, and marketing. He also taught data science and machine learning for General Assembly. Prior to GE, Michael spent several years as a data […]