Julianne Dalcanton joined the Simons Foundation in September 2021 as the director of the Flatiron Institute’s Center for Computational Astrophysics (CCA). Her research specializes in the origins and evolution of galaxies.

Most recently, Dalcanton has worked with the Hubble Space Telescope (HST) to dissect images of nearby galaxies into millions of stars. Through these efforts, she has become one of the largest single users of the Hubble Space Telescope, most notably as principal investigator of a large HST Multicycle Treasury.

Prior to joining the foundation, Dalcanton served as professor of and chair of astronomy and an adjunct professor of physics at the University of Washington. She earned a Ph.D. in astrophysical sciences from Princeton University and a bachelor’s degree in physics from the Massachusetts Institute of Technology. She completed postdoctoral training at the Observatories of the Carnegie Institution of Washington.

Throughout her career, Dalcanton has been recognized for achievements in the field of astrophysics. She has been awarded an Alfred P. Sloan Research Fellowship, a National Science Foundation CAREER award for junior faculty, a NASA Hubble Postdoctoral Fellowship, a Wyckoff Faculty Fellowship through the College of Arts and Sciences at the University of Washington, the Mohler Prize from the University of Michigan and the Beatrice Tinsley Prize from the American Astronomical Society. She has also given the invited Eddington Lecture at the University of Cambridge, the Baird Lecture at the Ohio State University, the Spitzer Lectures at Princeton and the Sackler Lecture at Leiden University.

In addition to her research programs, Dalcanton has been widely involved in community governance and planning. She is currently serving on the steering committee of the Astro2020 Decadal review, after being vice chair of the Nearby Science Frontier Committee during the Astro2010 Decadal review. She has also previously been a member of NASA’s Cosmic Origins Program Analysis Group, the National Optical Astronomy Observatory’s Optical-NIR Long Range Planning Committee, and the Science Advisory Committee of the Giant Magellan Telescope, in addition to being a co-lead of the AURA “From Cosmic Birth to Living Earths” study of a possible next-generation large space telescope. Dalcanton has served as vice-chair of the Space Telescope Science Institute Council, a member of the Collaboration Advisory Council of the Sloan Digital Sky Survey (SDSS), chair of the SDSS Galaxy Working Group and a member of the AURA nominating committee.

As a third-generation teacher, Dalcanton is equally committed to education and outreach. She has taught more than 1,500 students, and regularly participates in outreach events. She has also written for popular science outlets, including Discover.

I am a Senior Principal Researcher at Microsoft Research.  My research interests span causal inference, machine learning, and AI’s implications for people and society.

I am working to broaden the use of causal methods for decision-making across many application domains; and, in the broad area of AI’s implications for society, my projects include work at the intersection of security and machine learning.  I have a strong interest in computational social science questions and social media analyses, especially that require causal understanding of phenomenon in health, mental health; issues of data bias; and understanding how new technologies affect our awareness of the world and enable new kinds of information discovery and retrieval.

Suresh Venkatasubramanian directs the Center for Technological Responsibility, Reimagination, and Redesign (CNTR) with the Data Science Institute at Brown University, and is a Professor of Computer Science and Data Science. Suresh’s background is as a computer scientist and his current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society.

Suresh recently finished a stint in the Biden-Harris administration, where he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy.  In that capacity, he helped co-author the Blueprint for an AI BIll of Rights. 

Prior to Brown University, Suresh was at the University of Utah, where as an assistant professor he was the John and Marva Warnock Assistant Professor. He has received a CAREER award from the NSF for his work in the geometry of probability, a test-of-time award at ICDE 2017 for his work in privacy, and a KAIS Journal award for his work on auditing black-box models. His research on algorithmic fairness has received press coverage across the globe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. He is a past member of the Computing Community Consortium Council of the CRA, spent 4 years (2017-2021) as a member of the board of the ACLU in Utah, and is a past member of New York City’s Failure to Appear Tool (FTA) Research Advisory Council, the Research Advisory Council for the First Judicial District of Pennsylvania and the Utah State Auditor’s Commission on protecting privacy and preventing discrimination.