Dr. Leslie Smith
US Naval Research Laboratory
Senior Research Scientist
Dr. Leslie Smith
US Naval Research Laboratory
Senior Research Scientist
Leslie N. Smith received a combined BS and MS degrees in Physical Chemistry from the University of Connecticut in 1976 and a Ph.D. degree in chemical physics from the University of Illinois in 1979. He is currently at the US Naval Research Laboratory in the Navy Center for Applied Research in Artificial Intelligence. His research […]
Grishma Jena
IBM
Director, Analytics Engineering
Grishma Jena
IBM
Director, Analytics Engineering
Grishma is a Cognitive Software Engineer with the Data Science for Marketing team at IBM Watson. She earned her Masters in Computer Science at University of Pennsylvania. Her research interests are in Machine Learning and Natural Language Processing. She was recently a mentor for the non-profit AI4ALL’s AI Project Fellowship where she guided a group […]
Prasanth Anbalagan
Red Hat
Senior Software Engineer
Prasanth Anbalagan
Red Hat
Senior Software Engineer
Prasanth Anbalagan is a Senior Software Engineer (QE and Analysis) on the Artificial Intelligence Center of Excellence Team at Red Hat. Prasanth earned his M.S and Ph.D in Computer Science from North Carolina State University focusing on Software Reliability Engineering, Predictive Modeling and Automated Software Engineering. As a member of AI team at Red Hat, […]
Gopal Erinjippurath
Sust Global
CTO, Head of Product
Gopal Erinjippurath
Sust Global
CTO, Head of Product
Gopal Erinjippurath serves as CTO and Head of Product at Sust Global, a venture focused on geospatial analytics for climate adaptation. Most recently, he led the Analytics Engineering team at Planet Labs, an integrated aerospace and data analytics company that operates history’s largest commercial fleet of earth observation satellites. Planet Analytics serves a range of […]
Joan Xiao
Figure Eight
Lead Machine Learning Scientist
Joan Xiao
Figure Eight
Lead Machine Learning Scientist
Joan Xiao is a Lead Machine Learning Scientist at Figure Eight, a human-in-the-loop machine learning and artificial intelligence company. In her role, she leads research innovation and applies novel technologies to a broad range of real word problems. Previously she led the data science team at H5, a data search and analytics service company in […]
Jeff McGefee
Very
Sr. Data Scientist
Jeff McGefee
Very
Sr. Data Scientist
As a Senior Data Scientist and IoT Practice Lead at Very, Jeff McGehee works with clients to build data-driven products that interact with the physical world. Jeff is naturally drawn to problems that most people consider “unsolvable,” and he enjoys solving those kinds of problems at Very. Jeff brings his applied mathematics and machine learning […]
Jerry Talton
Carta
Director of Data & Machine Learning
Jerry Talton
Carta
Director of Data & Machine Learning
Jerry Talton is the Director of Data & Machine Learning at Carta, where he leads the company’s efforts to operationalize the ownership graph. Prior to joining Carta, he managed the Machine Learning Services team in Slack’s Search, Learning, & Intelligence group in Manhattan, and was the founder and CEO of Apropose, a data-driven design startup […]
Srividya Kannan Ramachandran
Srividya Kannan Ramachandran currently works in Marketing Science at Facebook. Her prior roles involve leading a data science team at Digitas and building the data science practice within marketing at Level 3 Communications. Srividya is one of the pioneers in the synthetic art movement and is represented by two art galleries in the Chelsea art […]
Fedor Borisyuk
Facebook
Technical Leader, Computer Vision
Fedor Borisyuk
Facebook
Technical Leader, Computer Vision
Fedor Borisyuk is technical leader in the domain of computer vision at Facebook. He leads a team of great machine learning engineers and researchers working on Photo Search and other exciting problems related to visual understanding. His interests lie in using large amounts of weakly/noisy annotated image data to build a visual representation, modeling relationship […]
Michael Lindon
Tesla
Senior Data Scientist
Michael Lindon
Tesla
Senior Data Scientist
Michael Lindon is a Senior Data Scientist on the Tesla Supply Chain Automation team. He received a combined Bsc-MPhys degree from the University of Warwick in 2012, and MSc and PhD degrees from Duke University in 2015 and 2018 respectively, where he specialized in Bayesian methods, decision theory and optimization.
Been Kim
Google Brain
Sr. Research Scientist
Been Kim
Google Brain
Sr. Research Scientist
Been Kim is a senior research scientist at Google Brain. Her research focuses on building interpretable machine learning – making ML understandable by humans. The vision of her research is to make humans empowered by machine learning, not overwhelmed by it. She gave ICML tutorial on the topic in 2017, CVPR and MLSS at University […]
Ashfaq Munshi
Pepper Data
CEO
Ashfaq Munshi
Pepper Data
CEO
Before joining Pepperdata, Ash was executive chairman for Marianas Labs, a deep learning startup sold in December 2015. Prior to that he was CEO for Graphite Systems, a big data storage startup that was sold to EMC DSSD in August 2015. Munshi also served as CTO of Yahoo, as a CEO of both public and […]
Rushin Shaw
Facebook
Engineering Leader
Rushin Shaw
Facebook
Engineering Leader
Rushin Shah is an engineering leader at Facebook, currently working on natural language understanding and dialog. Previously, he was at Siri at Apple for 5 years, where he built and headed the natural language understanding group, which included teams dedicated to modeling, engineering and data science. He also worked at the query understanding group at […]
Doug Eck
Google
Research Scientist
Doug Eck
Google
Research Scientist
Doug leads Magenta, a Google Brain project working to generate music, video, image and text using deep learning and reinforcement learning. A main goal of Magenta is to better understanding how AI can enable artists and musicians to express themselves in innovative new ways. Before Magenta, Doug led the Google Play Music search and recommendation […]
Dr. Steve Liu
Tinder
Chief Scientist
Dr. Steve Liu
Tinder
Chief Scientist
Dr. Steve Liu is chief scientist at Tinder. In his role, he leads research innovation and applies novel technologies to new product developments. He is currently a professor and William Dawson Scholar at McGill University School of Computer Science. He has also served as a visiting research scientist at HP Labs. Dr. Liu has published […]
Jonas Schneider
OpenAI
Head of Engineering for Robotics
Jonas Schneider
OpenAI
Head of Engineering for Robotics
Jonas leads technology development for OpenAI’s robotics group, developing methods to apply machine learning and AI to robots. He also helped build the infrastructure to scale OpenAI’s distributed ML systems to thousands of machines.
Madhura Dudhgaonkar
Workday
Head of Engineering, Search, Data Science and Machine Learning
Madhura Dudhgaonkar
Workday
Head of Engineering, Search, Data Science and Machine Learning
Madhura Dudhgaonkar is responsible for leading Workday’s search, data science and machine learning teams based in San Francisco. Her teams have spent ~4 years building machine learning products used by Fortune 500 companies. Her experience ranges from being a hands-on engineer to leading large engineering organizations. Madhura’s career spans across SUN Microsystems, Adobe and now […]
LN Renganarayana
Workday
Architect, ML Platform and Services
LN Renganarayana
Workday
Architect, ML Platform and Services
LN leads the architecture and design of Workday’s ML Platform and Services. He is all about building large scale distributed systems and data platforms. Currently his days (and some nights) are spent on solving the challenges in building ML products for Enterprise SaaS. LN’s career spans across HP, IBM Research, Symantec and now Workday. At […]
Hanie Sedghi
Google Brain
Senior Research Scientist
Hanie Sedghi
Google Brain
Senior Research Scientist
Hanie Sedghi is a senior research scientist at Google Brain, where she leads the “Deep Phenomena” research group. Her approach is to bond theory and practice in large-scale machine learning. Her primary research interest is understanding and improving deep learning. Prior to Google, she was a research scientist at Allen Institute for Artificial Intelligence and […]
Garret Goh
Pacific Northwest National Lab (PNNL
Scientist
Garret Goh
Pacific Northwest National Lab (PNNL
Scientist
Garrett Goh is a Scientist at the Pacific Northwest National Lab (PNNL), in the Advanced Computing, Mathematics & Data Division. He was previously awarded the Howard Hughes Medical Institute fellowship which supported his PhD in Computational Chemistry at the University of Michigan. At PNNL, he was awarded the Pauling Fellowship that supports his research initiative […]
Ashrith Barthur
h2o.ai
Security Scientist
Ashrith Barthur
h2o.ai
Security Scientist
Ashrith Barthur is a Security Scientist at H2O currently working on algorithms that detect anomalous behaviour in user activities, network traffic, attacks, financial fraud and global money movement. He has a PhD from Purdue University in the field of information security, specialized in Anomalous behaviour in DNS protocol.
Andrew Musselman
Lucidworks
Lead, Advisory Practice
Andrew Musselman
Lucidworks
Lead, Advisory Practice
Andrew recently joined Lucidworks to head up their Advisory practice, and is a Committer and PMC member on the Apache Mahout project.
Alex Korbonits
Textio
Machine Learning Engineer
Alex Korbonits
Textio
Machine Learning Engineer
Alex is a machine learning engineer at augmented writing platform Textio, where he ships machine learning models that drive the platform’s predictions and guidance. Formerly, Alex was Remitly’s first data scientist where he worked extensively on feature extraction and shipping machine learning models. Outside of work, he is an avid sailor and burgeoning writer. Alex […]
Makund Narasimhan
Pinterest
Engineer
Makund Narasimhan
Pinterest
Engineer
Mukund Narasimhan is an engineer at Pinterest where he works on content modeling and recommendations. Prior to Pinterest, he has worked at Google, Facebook, Microsoft and Intel. He has a Ph.D. in Electrical Engineering from the University of Washington and a M.S in Mathematics from Louisiana State University.
Sara Hooker
Google Brain
AI Resident
Sara Hooker
Google Brain
AI Resident
Sara Hooker is an AI resident at Google Brain. Her research interests include interpretability, model compression and security in deep neural networks. Prior to Google, Sara taught an open source machine learning for social good course in Nairobi, Kenya. In 2014, Sara founded Delta Analytics, a non-profit dedicated to building technical capacity to help communities […]
Serena Yeung
Stanford
PhD Student
Serena Yeung
Stanford
PhD Student
Serena is a Ph.D. student in the Stanford Vision Lab, advised by Prof. Fei-Fei Li. Her research interests are in computer vision, machine learning, and deep learning. She is particularly interested in the areas of video understanding, human action recognition, and healthcare applications. She interned at Facebook AI Research in Summer 2016. Before starting her […]
Tianqi Chen
Univserity of Washington
Computer Science PhD Student
Tianqi Chen
Univserity of Washington
Computer Science PhD Student
Tianqi holds a bachelor’s degree in Computer Science from Shanghai Jiao Tong University, where he was a member of ACM Class, now part of Zhiyuan College in SJTU. He did his master’s degree at Changhai Jiao Tong University in China on Apex Data and Knowledge Management before joining the University of Washington as a PhD. […]
Ryan Calo
University of Washington
Assistant Professor
Ryan Calo
University of Washington
Assistant Professor
Ryan Calo is an assistant professor at the University of Washington School of Law and a former research director at CIS. A nationally recognized expert in law and emerging technology, Ryan’s work has appeared in the New York Times, the Wall Street Journal, NPR, Wired Magazine, and other news outlets. Ryan serves on several advisory […]
Luna Dong
Amazon
Principal Scientist,
Luna Dong
Amazon
Principal Scientist,
Xin Luna Dong is a Principal Scientist at Amazon, leading the efforts of constructing Amazon Product Graph. She was one of the major contributors to the Knowledge Vault project, and has led the Knowledge-based Trust project, which is called the “Google Truth Machine” by Washington’s Post. She has won the VLDB Early Career Research Contribution […]
John Maxwell
Nordstrom
Data Scientist
John Maxwell
Nordstrom
Data Scientist
John Maxwell, a data scientist at Nordstrom, did his graduate work in international development economics, focusing on field experiments. He has since led research projects in Indonesia and Ethiopia related to microenterprise, developed large mathematical simulation models used for investment decisions by WSDOT, built dynamic pricing algorithms at Thriftbooks.com, and led the development of Nordstrom’s […]
Sean McPherson
Delta Analytics
Data Science Fellow
Sean McPherson
Delta Analytics
Data Science Fellow
Sean is passionate about using data science to provide meaningful insights towards positive social change. As a Data Science Fellow with Delta Analytics, he is working to improve the detection of illegal logging for the Rainforest Connection. Sean is excited to work on this project as it combines two of his fields of interest, audio […]
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 […]
Yuri M. Brovman
eBay
Member of Technical Staff / Data Scientist
Yuri M. Brovman
eBay
Member of Technical Staff / Data Scientist
Yuri is a Member of Technical Staff / Data Scientist at eBay in New York City. He is currently focused on developing scalable machine learning algorithms to produce high quality item recommendations. Yuri holds a Ph.D. degree from the Applied Physics and Applied Mathematics department from Columbia University and an undergraduate degree in Physics from […]
Yi Wang
Baidu
Tech Lead of AI Platform
Yi Wang
Baidu
Tech Lead of AI Platform
Yi Wang is the tech lead of AI Platform at Baidu. The team is a primary contributor of PaddlePaddle, the open source deep learning platform originally developed in Baidu. Before Baidu, he was a founding member of ScaledInference, a Palo Alto-based AI startup company. Before that, he was a senior staff at LinkedIn, engineering director […]
Ross Goodwin
Sunspring
Technologist, Creator
Ross Goodwin
Sunspring
Technologist, Creator
Ross Goodwin is a creative technologist, artist, hacker, data scientist, and former White House ghostwriter. Ross helped conceive Sunspring, a 2016 experimental science fiction short film entirely written by an artificial intelligence bot using neural networks. He employs machine learning, natural language processing, and other computational tools to realize new forms and interfaces for written […]
Jeff Bradshaw
Adaptris
Founder/CTO
Jeff Bradshaw
Adaptris
Founder/CTO
Jeff Bradshaw is the founder of Adaptris and Group CTO of Adaptris/F4F/DBT within Reed Business Information. He has spent his career integrating data wherever it resides and in-flight across a number of industries including Agriculture, Airlines, Telecommunications, Healthcare, Government and Finance. Jeff has worked with and contributed to a number of international standards bodies and […]