Basis is a nonprofit applied research organization with two mutually reinforcing goals.

Basis is a 501(c)(3) nonprofit applied research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.

The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.

To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.

Our Team

Between our core members, advisors, and collaborators, Basis is made up of:

Zenna Tavares ↗︎

Zenna Tavares is a co-founder and director of Basis, innovation scholar in Columbia University’s Zuckerman Mind Brain Behavior Institute, and associate research scientist in the Data Science Institute. Tavares’s research aims to understand how humans reason, that is, how they come to derive knowledge from observing and interacting with the world. He constructs computational and statistical tools that help advance his work on causal reasoning, probabilistic programming, and other areas.

Eli Bingham ↗︎

Eli Bingham is a co-founder and director of Basis, a machine learning fellow in the Data Sciences Platform at the Broad Institute of MIT and Harvard, a co-creator and core developer of the Pyro probabilistic programming language, and formerly a senior research scientist at Uber AI Labs. He focuses on research at the intersection of probabilistic machine learning, programming languages, and biology and on bringing that research to practice by delivering high-quality open-source software to many thousands of users.

Emily Mackevicius ↗︎

Emily Mackevicius is a co-founder and director of Basis, where she leads the Collaborative Intelligent Systems group. She did her postdoctoral work studying memory-expert birds in the Aronov lab and the Center for Theoretical Neuroscience at Columbia, and her PhD work studying how birds learn to sing in the Fee lab at MIT. Her theoretical work is strongly grounded in experimental practice, currently high-resolution behavioral recordings of groups of animals foraging in environments ranging from NYC to Arctic Alaska.

Sam Witty ↗︎

Sam Witty is a research scientist at Basis and an affiliate researcher at the Broad Institute of MIT and Harvard. He was previously a visiting researcher in MIT’s Brain and Cognitive Sciences Department, and has a PhD in computer science from UMass Amherst. His research goal is to develop AI and ML methods that help scientists discover more and that help policymakers make better decisions.

Martin Jankowiak ↗︎

Martin Jankowiak is a research scientist (part-time) at Basis, a machine learning fellow in the Data Sciences Platform at the Broad Institute of MIT and Harvard and a co-creator and core developer of Pyro and NumPyro. He was previously a senior research scientist at Uber AI Labs and has a PhD in theoretical physics from Stanford. He works on a wide range of topics across probabilistic machine learning, high-dimensional statistics and applications in computational biology.

Rafal Urbaniak ↗︎

Rafal Urbaniak is a research scientist at Basis, specializing in Bayesian methods and causal probabilistic programming. His interests include criminal evidence evaluation, bias in natural language processing, and online aggression. At Basis, he develops advanced tools for causal explanation to inform policy-making decisions and identify collaboration strategies in animal behavior. Rafal holds a Ph.D. in Logic and Philosophy of Mathematics from the University of Calgary and has held positions at the Research Foundation Flanders, Trinity College Dublin, and the University of Bristol.

Ria Das ↗︎

Ria Das is a research scientist (part-time) at Basis, interested in automating scientific discovery via program synthesis and probabilistic programming. She is currently a PhD student at MIT, and previously was an undergraduate and masters student at MIT, where she worked on modeling causal discovery in a commonsense reasoning domain (the Autumn project) with Zenna Tavares, Armando Solar-Lezama, and Josh Tenenbaum.

Michelangelo Naim ↗︎

Michi is a research scientist at Basis. He was previously an ICoN Postdoctoral Fellow at MIT working with Guangyu Robert Yang using AI to model the brain. He finished his Ph.D. at the Weizmann Institute of Science under supervision of Misha Tsodyks, during which he spent some time at the Institute for Advanced Studies and at Kavli Institute for Theoretical Physics.

Dmitry Batenkov ↗︎

Dima is a research scientist at Basis. He was previously an assistant professor of applied mathematics at Tel-Aviv University and a postdoctoral fellow at MIT.

Jack Feser ↗︎

Jack is a research scientist at Basis. He was previously an assistant professor of computer science at Hamilton College and completed his Ph.D. at MIT with Armando Solar-Lezama. His research interests are in programming languages and automated programming, particularly as applied to relational databases.

Jonathan Mei ↗︎

Jonathan is a research engineer at Basis focusing on ML/AI. He is generally interested in the intersection of algorithms with real world hardware. He has worked on developing quantum algorithms for ML, AI accelerator architectures, and holographic imaging techniques for virtual and augmented reality. He received his PhD from CMU and MEng from MIT. In his spare time, he enjoys miscellaneous arts and crafts.

Fritz Obermeyer ↗︎

Fritz is a research scientist (part-time) at Basis. He works on Pyro and specializes in Bayesian machine learning. He earned a PhD in Programming Language Theory and has worked on machine learning platforms at Salesforce, Google, and Uber. Currently, he is researching applications of large language models to decision making.

Alyse Portera

Alyse Portera is business operations manager at Basis. She has over 20 years of business, human resources and operational management experience in the life sciences, government and non-profit sectors. Alyse was the Regional Director of Research Operations at the Howard Hughes Medical Institute and prior to that she was the Deputy Commissioner for Administration at the Westchester County Health Department in New York where she oversaw all finance functions, human resources, facilities management, information technology, emergency preparedness and corporate administrative functions.

Karen Schroeder ↗︎

Karen Schroeder is research operations manager at Basis. She was previously a postdoctoral research scientist in brain-computer interfaces and computational/systems neuroscience at Columbia’s Zuckerman Institute, and holds a Ph.D. in neural engineering from the University of Michigan. Her research interests include meta-science for AI research, and neuroAI.

Ravi Deedwania

Ravi Deedwania is a scientific proposal writer at Basis. He has previously worked as a product manager at venture-backed startups and a research assistant at the White House Council of Economic Advisors. He has an S.B. in economics from MIT and a JD from Yale Law School.

Archana Warrier ↗︎

Archana Warrier is a research trainee at Basis and a Master’s student at TU Kaiserslautern, co-mentored by Zenna Tavares and Sebastian Vollmer. Her interests lie in the fields of causality and Bayesian inference.

Andy Zane ↗︎

Andy is a visiting researcher at Basis and a PhD candidate in UMass Amherst’s College of Information and Computer Sciences. His broad research interests include Bayesian modeling, causality, and decision theory, while recent efforts have explored ways optimal experimental design can mitigate false accusations in police lineups. Previously, he led development of business intelligence and industrial automation tools in the natural resource industries, and still consults in this sector.

Want to work with us? Learn more about opportunities to join our research collaborations, and career opportunities, here.

Advisors

Armando Solar-Lezama ↗︎

Solar-Lezama is a professor at MIT EECS and an associate director and the COO of MIT CSAIL, where he leads the Computer-Aided Programming Group.

Joshua Tenenbaum ↗︎

Tenenbaum is professor of Computational Cognitive Science in MIT’s Department of Brain and Cognitive Sciences, Scientific Director with the MIT Quest for Intelligence, an investigator at the Center for Brains, Minds and Machines and MIT CSAIL, and a MacArthur Fellow.

Kevin Ellis ↗︎

Ellis is an assistant professor of computer science at Cornell, where his group works on artificial intelligence, deep learning and program synthesis.

Anthony Philippakis ↗︎

Philippakis is chief data officer of the Broad Institute of MIT and Harvard, co-director of the Eric and Wendy Schmidt Center for AI and Biology, a venture partner at GV, and a cardiologist at Brigham and Women’s Hospital.

Rui Costa ↗︎

Costa is a professor of neuroscience and outgoing CEO of the Zuckerman Institute at Columbia, the incoming CEO of the Allen Institute, and an elected member of the European Molecular Biology Organization and the National Academy of Medicine.

If you are interested in supporting our mission to create a new space for AI research with financial or other resources, or collaborating with us on either core technology or any of our current challenge problems, please reach us at contact@basis.ai.

If you’d like to stay up to date on Basis news, software releases, or challenge problems please join our mailing list.