The Department of Computer Science and faculty are excited to announce a Career Day workshop for our Ph.D. students to learn about and discuss career paths after completing their degrees.

The one-day in-person workshop is scheduled for Friday, May 27th, 2022, in Crerar 390. The workshop will start at 9:00 am CDT and end around 3:00 pm CDT with breakfast and lunch included. Our guest speakers are all former Ph.D. advisees of University of Chicago faculty. They will speak about their own career experiences covering a breadth of career paths.

The schedule of events includes two panels (one on experiences in different career paths and one on resilience and overcoming failures). These panels will be followed with an AMA session where students can engage directly with panelists in small group conversations. The final event of the workshop will be an open discussion on academic hiring, with multiple members of the faculty hiring committee on what they look for during different stages of the process.

Register here

(Registration is free, and only used to provide a headcount for catering.)

Faculty organizers: Kyle Chard, Rana Hanocka, Ben Zhao.
Special thanks to Jas Brooks and Yujie Tao.


09:00 AM Breakfast
09:15 AM Welcome — Michael Franklin, Liews Family Chairman of Computer Science, Senior Advisor to the Provost for Computing and Data Science

Introduction — Ben Zhao, Neubauer Professor of Computer Science, UChicago
09:30 AM

Post-PhD Career Panel: Paths Not Yet Taken
Panelists: Lars Bergstrom, Anda Iamnitchi, Borja Sotomayor, and Gang Wang
Moderator: Rana Hanocka, Assistant Professor, UChicago CS

10:30 AM Break
11:00 AM CV of Failures, a Discussion on Resilience
Speakers: Anda Iamnitchi, Ben Zhao, Lars Bergstrom, Shan Lu
12:00 PM Lunch provided by UChicago CS
01:00 PM Informal AMA, grouped by morning panelist (Lars, Anda, Borja, Gang).
02:00 PM An Insider View of Academic Hiring
Panelists: Michael Franklin, Rana Hanocka, Gang Wang, Ben Zhao
03:00 PM Workshop ends


Dr. Lars Bergstrom, Director of Engineering, Google Chicago

Dr. Lars Bergstrom is a Director of Engineering at Google, working on Android Platform Programming Languages. Previously, he was Senior Director of Engineering at Mozilla, managing the amazing teams building Firefox Reality for VR and AR devices, Hubs by Mozilla, and the Servo web engine. Dr. Bergstrom got his Ph.D. from the University of Chicago's Computer Science department, studying under Dr. John Reppy.

Dr. Bergstrom's personal website

Dr. Adriana Iamnitchi, Professor, Maastricht University, Netherlands

Dr. Adriana (Anda) Iamnitchi is Professor and Chair of Computational Social Sciences in the Institute of Data Science at Maastricht University since August 2021. She has been trained as a computer scientist with a PhD and MS from University of Chicago, USA. Until recently, she was Professor in the Department of Computer Science and Engineering at University of South Florida, where she went through the American academic ranks from Assistant Professor to Associate and Full. Her research trajectory led from distributed computing (such as decentralized management of user data) to computational social sciences (such as modeling information diffusion in social media and identifying patterns of information operations).

Dr. Iamnitchi's faculty page

Dr. Borja Sotomayor, Assoc. Senior Instructional Professor, UChicago CS

Dr. Borja Sotomayor is an Associate Senior Instructional Professor in the Department of Computer Science, where he teaches intro CS, software development, computer networks, and distributed systems. He is also the Director of the Masters Program in Computer Science. Dr. Sotomayor is involved in a number of other activities on campus, such as being the faculty advisor to the department’s student organizations.

Dr. Sotomayor's personal website

Dr. Gang Wang, Assistant Professor, UIUC CS

Dr. Gang Wang is an Assistant Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC). Wang is also affiliated with the Department of Electrical and Computer Engineering (by courtesy), Security and Privacy Research at Illinois (SPRAI), and Informatics Programs of School of Information Sciences. His research aims to make it easier to build explainable and robust data-driven solutions to safeguard Internet systems and augment human’s ability to perform security-related tasks. He is interested in a range of topics in Security and Privacy, Internet Measurement, and Data Mining.

Dr. Wang's personal website