March 31, 2023
Statistical Machine Learning & Causal Inference Roundtable
UW + Amazon Science Hub invites UW faculty, UW graduate students, and Amazon scientists to participate in a roundtable on statistical machine learning and causal inference. This event will include short research talks, networking, and opportunities to build and deepen connections between UW and Amazon.
The event will be held in-person on UW’s Seattle campus in the HUB 250 on Monday, May 1 beginning at 2:00 PM.
Event Program
| Time | Program |
| 2:00pm | Welcome Remarks |
| Daniela Witten, Dorothy Gilford Endowed Chair of Mathematical Statistics; Professor of Statistics and Biostatistics, UW College of Arts & Sciences and School of Public Health | |
| Dan Pollack, Dean of Natural Sciences, Professor of Mathematics, UW College of Arts & Sciences | |
| Matt Taddy, Vice President, Amazon Private Brands | |
| Joshua Smith, Director, UW + Amazon Hub; Milton and Delia Zeutschel Professor in Entrepreneurial Excellence, Department of Electrical & Computer Engineering, UW College of Engineering | |
| 2:15pm | Overview of Causal Inference & Statistical Machine Learning Problems at Amazon |
| Topic 1 Ramon Huerta, Sr. Principal Applied Scientist, Private Brands – Supply Chain |
|
| Topic 2 Fan Zhang, Principal Economist, Core AI |
|
| Topic 3 Chris Khawand Principal Economist CBA |
|
| 3:00pm | UW Faculty Lightning Talks |
| Presentations of ongoing research related to statistical machine learning and causal inference. | |
| Yanqin Fan, Castor Professor of Economics, UW College of Arts & Sciences Zaid Harchaoui, Professor, Department of Statistics, UW College of Arts & Sciences Kevin Jamieson, Assistant Professor, Computer Science & Engineering, UW Paul G. Allen School of Computer Science & Engineering Nathan Kutz, Robert Bolles and Yasuko Endo Professor of Applied Mathematics; Adjunct Professor of Electrical Engineering and Physics, UW College of Arts & Sciences and College of Engineering Alex Luedtke, Associate Professor, Department of Statistics, UW College of Arts & Sciences Ema Perkovic, Assistant Professor, Department of Statistics, UW College of Arts & Sciences Armeen Taeb, Assistant Professor, Department of Statistics, UW College of Arts & Sciences Jing Tao, Assistant Professor, Department of Economics, UW College of Arts & Sciences Hema Yoganarasimhan, Professor of Marketing, Michael G. Foster Faculty Fellow, UW Foster School of Business |
|
| 4:00pm | Closing Remarks |
| 4:05pm | Networking Reception |
Graduate Student Participation
Subject to space constraints, graduate students are welcome to participate. Graduate students whose research is relevant to statistical machine learning and causal inference should RSVP. We will confirm student participation by email once capacity is confirmed.
FAQs
Do I need to RSVP for the event?
Yes! Please RSVP here.
Where is the event being held?
University of Washington, Seattle Campus
Building: Husky Union Building
Room: 250
Can I participate virtually?
The event will be held exclusively in-person. If you are interested in this event but are unable to attend in-person, please complete the RSVP form, filling in your research interests and current affiliation, and indicate that ‘no’ you are not planning to attend in-person.
Who will attend the event?
The primary audiences are UW faculty, Amazon scientists, and UW graduate students with interests in statistical machine learning and causal inference.