Dr. Ilke Demir earned her Ph.D. in Computer Science from Purdue University, focusing on 3D vision approaches for generative models, urban reconstruction and modeling, and computational geometry for synthesis and fabrication. Afterwards, she joined Facebook as a Postdoctoral Research Scientist working with Ramesh Raskar from MIT. Her research included human behavior analysis and deep learning […]

Yevgeniy Vahlis is the head of the Applied Machine Learning group at Borealis AI. Prior to joining Borealis AI, Yevgeniy led an applied research team at Georgian Partners, a late-stage venture capital fund, and worked at a number of tech companies including Amazon and Nymi. Yevgeniy kicked off his career at AT&T Labs in New […]

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.

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 […]

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 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 […]

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 […]

Forough is a post-doctoral researcher at Microsoft Research New York City. She works in the interdisciplinary area of interpretable and interactive machine learning. Forough collaborates with psychologists to study human behavior when interacting with machine learning models. She uses these insights to design machine learning models that humans can use effectively. She is also interested […]

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 […]

Mike serves as Chief ML Scientist and Head of Machine Learning for SIG, UC Berkeley Data Science faculty, and Director of Phronesis ML Labs. He has led teams of Data Scientists in the bay area including roles as Head of Data Science at Uber ATG, and CSO for Galvanize where he founded the galvanizeU-UNH Masters […]

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 […]

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, […]

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 […]

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 […]

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 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 […]

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 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.

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 […]

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 […]

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 […]

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 […]

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 […]

Andrew recently joined Lucidworks to head up their Advisory practice, and is a Committer and PMC member on the Apache Mahout project.

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 […]

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 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 […]

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 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 […]

​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 […]

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 […]

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 […]

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.

Layla El Asri is a research Scientist at Maluuba. Her work explores artificial intelligence in the context of language understanding, dialogue and human-machine interaction. Layla leads a team seeking to build artificial intelligence systems that are knowledgeable and can exchange information with users to help users accomplish tasks or gain knowledge. Layla completed her PhD […]

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 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 […]