Nov
14–15
2022
DSI EventsNov 14, 2022
Rising Stars in Data Science Workshop – Autumn 2022
November 14, 2022 12:00 AM – 15, 2022 11:59 PM
The Rising Stars in Data Science workshop at the University of Chicago focuses on celebrating and fast tracking the careers of exceptional data scientists at a critical inflection point in their career: the transition to postdoctoral scholar, research scientist, industry research position, or tenure track position. The Autumn 2022 workshop will showcase the exciting, innovative data science initiatives at UChicago as well as the research work of exceptional PhD students and postdocs.
Please note that this is a private workshop apart from the Day 1 panels (“The Data Science Job Search – Advice + Approaches” and “Faculty 101 – How to Make the Most of Your First Year”) and Day 2 keynote, which members of the University of Chicago community may attend virtually. Please register here to attend one of these sessions via Zoom.
Below is a high-level agenda for the workshop, as of October 2022. Please note that this is subject to change. Speaker information is forthcoming.
Agenda
Monday, November 14, 2022
9:00 am–9:30 am
Welcome Breakfast + Check-in
9:30 am–10:00 am
Opening Remarks + Overview of the Data Science Institute
Michael J. Franklin, Faculty Co-Director, Data Science Institute; Liew Family Chair of Computer Science; Senior Advisor to the Provost for Computation and Data Science
Dan Nicolae, Faculty Co-Director, Data Science Institute; Professor of Statistics, Human Genetics, Medicine, Section of Genetic Medicine and the College
10:00 am–11:00 am
Panel: The Data Science Job Search – Advice + Approaches
Alex Kale, Assistant Professor of Computer Science and Data Science
Rana Hanocka, Assistant Professor, Computer Science
Molly Offer-Westort, Assistant Professor, Department of Political Science
Aaron Schein, Assistant Professor of Statistics and Data Science
Victor Veitch, Assistant Professor of Statistics and Data Science
11:00 am–11:20 am
Break
11:20 am–12:00 pm
Overview of Research at DSI
Nick Feamster, Faculty Director of Research, Data Science Institute; Neubauer Professor of Computer Science and The College
Rebecca Willett, Faculty Director of AI, Data Science Institute; Professor, Statistics, Computer Science, and the College
12:00 pm–1:00 pm
Lunch
1:00 pm–2:30 pm
Afternoon Break – Mentor 1:1 Meetings
2:30 pm–3:30 pm
Rising Stars Lightning Talks – Session 1, Track A: Computational Social Science
JCL 390
Amanda Coston, PhD Candidate, Carnegie Mellon University
Chan Young Park, PhD Candidate, Carnegie Mellon University
Ryan Shi, PhD Candidate, Carnegie Mellon University
Valentin Hofmann, PhD Student, University of Oxford
Rising Stars Lightning Talks – Session 1, Track B: Machine Learning I
JCL 298
Chao Ma, Szego Assistant Professor, Stanford University
Gemma Moran, Postdoc, Columbia University
Laixi Shi, PhD Candidate, Carnegie Mellon University
Xintong Wang, Postdoctoral Fellow, Harvard University
3:30 pm–3:45 pm
Break
3:45 pm–4:45 pm
Panel: Faculty 101 – How to Make the Most of Your First Year
Yuxin Chen, Assistant Professor, Computer Science; Member: Committee on Computational and Applied Mathematics (CCAM)
Aaron J. Elmore, Associate Professor, Department of Computer Science
Diana Franklin, Associate Professor, Computer Science
Karen Livescu, Associate Professor, Toyota Technological Institute at Chicago
Daniel Sanz-Alonso, Assistant Professor, Department of Statistics (CAMI) and the College
4:45 pm–6:30 pm
Poster Session + Reception
Tuesday, November 15, 2022
9:30 am–10:00 am
Breakfast
10:00 am–11:00 am
Rising Stars Lightning Talks – Session 2, Track A: Human+AI
JCL 390
Eamon Duede, PhD Candidate, The University of Chicago
Harlin Lee, Hedrick Assistant Adjunct Professor (Postdoc), University of California, Los Angeles
Yuntian Deng, PhD Student, Harvard University
Zichao Wang, PhD Student, Rice University
Rising Stars Lightning Talks – Session 2, Track B: Networks/IoT + Robotics
JCL 298
Anushri Dixit, PhD Candidate, California Institute of Technology
Jonatas Marques, Research Assistant, Federal University of Rio Grande do Sul (Brazil)
Lu Gan, Postdoctoral Scholar, California Institute of Technology
Nwamaka Okafor, PhD Student, University College Dublin
11:00 am–11:15 am
Break
11:15 am–12:15 pm
Panel: Inside the Search Committee
Dan Nicolae, Faculty Co-Director, Data Science Institute; Professor of Statistics, Human Genetics, Medicine, Section of Genetic Medicine and the College
Michael J. Franklin, Faculty Co-Director, Data Science Institute; Liew Family Chair of Computer Science; Senior Advisor to the Provost for Computation and Data Science
12:15 pm–1:00 pm
Lunch
1:00 pm–2:00 pm
Rising Stars Lightning Talks – Session 3, Track A: Machine Learning II
JCL 390
Jingyan Wang, Postdoctoral Fellow, Georgia Institute of Technology
Oscar Leong, von Karman Instructor, California Institute of Technology
Wonjun Lee, Postdoctoral Fellow, University of Minnesota, Twin Cities
Yiqun Chen, Postdoctoral Fellow, Stanford University
Rising Stars Lightning Talks – Session 3, Track B: Statistical Foundations of Data Science
JCL 298
Blair Bilodeau, PhD Candidate, University of Toronto
Yandi Shen, Postdoc, The University of Chicago
Yi Wu, PhD Student, University of Toronto
Zhimei Ren, Postdoc, The University of Chicago
2:00 pm–2:15 pm
Break
2:15 pm–3:15 pm
Rising Stars Lightning Talks – Session 4, Track A: AI+Science
JCL 390
Adityanarayanan Radhakrishnan, PhD Candidate, Massachusetts Institute of Technology
Helen Qu, PhD Candidate, University of Pennsylvania
Ruishan Liu, Postdoctoral Scholar, Stanford University
Yiping Lu, PhD Student, Stanford University
Rising Stars Lightning Talks – Session 4, Track B: Trustworthy + Fair Machine Learning
JCL 298
Jian Kang, PhD Candidate, University of Illinois Urbana-Champaign
Linyi Li, PhD Candidate, University of Illinois Urbana-Champaign
Tian Li, PhD Candidate, Carnegie Mellon University
Vishwali Mhasawade, PhD Candidate, New York University
3:15 pm–3:30 pm
Break
3:30 pm–4:30 pm
Keynote
Luís M. A. Bettencourt, Director, Mansueto Institute for Urban Innovation; Professor, Department of Ecology and Evolution; Associate Faculty, Department of Sociology
4:30 pm–4:45 pm
Break
4:45 pm–6:15 pm
Matchmaking Session – Opportunities at DSI
Speakers
Luís M. A. Bettencourt
Director, Mansueto Institute for Urban Innovation; Professor, Department of Ecology and Evolution; Associate Faculty, Department of Sociology
Yuxin Chen
Assistant Professor, Computer Science; Member: Committee on Computational and Applied Mathematics (CCAM)
Aaron J. Elmore
Associate Professor, Department of Computer Science
Nick Feamster
Faculty Director of Research, Data Science Institute; Neubauer Professor of Computer Science and The College
Diana Franklin
Associate Professor, Computer Science
Michael J. Franklin
Faculty Co-Director, Data Science Institute; Liew Family Chair of Computer Science; Senior Advisor to the Provost for Computation and Data Science
Rana Hanocka
Assistant Professor, Computer Science
Alex Kale
Assistant Professor of Computer Science and Data Science
Karen Livescu
Associate Professor, Toyota Technological Institute at Chicago
Dan Nicolae
Faculty Co-Director, Data Science Institute; Professor of Statistics, Human Genetics, Medicine, Section of Genetic Medicine and the College
Molly Offer-Westort
Assistant Professor, Department of Political Science
Aaron Schein
Assistant Professor of Statistics and Data Science
Daniel Sanz-Alonso
Assistant Professor, Department of Statistics (CAMI) and the College
David Uminsky
Executive Director, Data Science Institute; Senior Research Associate, Department of Computer Science
Rebecca Willett
Faculty Director of AI, Data Science Institute; Professor, Statistics, Computer Science, and the College
Feb
14
CDAC WorkshopFeb 14, 2019
CDAC Kickoff and Seed Funding Preview
May
3
CDAC Speaker SeriesMay 03, 2019
Data-Intensive Systems for the Social Sciences with Michael Cafarella (Michigan)
May
8
CDAC Speaker SeriesMay 08, 2019
Consumer Spending During Unemployment with Peter Ganong (UChicago)
Jun
6
CDAC WorkshopJun 06, 2019