by Tübingen AI Center / Elia Schmid
I am a Principal Investigator at the ELLIS Institute Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center, leading the Algorithms and Society Group. My research focus on machine learning in social context and the role of prediction in digital economies. Before joining the ELLIS Institute I was a researcher at the Max Planck Institute for Intelligent Systems and spent two years as a SNSF postdoctoral fellow at UC Berkeley hosted by Moritz Hardt. I obtained my PhD from ETH Zurich, advised by Thomas Hofmann. During my PhD I was employed at IBM Research Zurich where I co-lead the design of the IBM Snap ML library.
I am building up a research group at the ELLIS Institute in Tübingen!
Are you interested in working with me as a Postdoc? Please get in touch via email.
Prospective PhD students, please apply through one of the following PhD programs:
A Python library to systematically translate the ACS survey data into natural text prompts to benchmark LLM outputs against US population statistics. Individual prediction tasks are non-realizable and provide insights into model's ability to express natural uncertainty in human outcomes.
A Chrome extension that measure how content arrangements impact user click behavior through randomized experiments.
Snap ML is a library that provides resource efficient and
fast
training
of
popular machine learning models on modern computing systems.
>400k downloads on PyPi
https://www.zurich.ibm.com/snapml/
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