Scholar
Shashwat Goel
Google Scholar ID: exaNV-0AAAAJ
ELLIS, Max Planck Institute for Intelligent Systems Tübingen
Citations & Impact
Citations
948
H-index
7
i10-index
5
Publications
15
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Presented 5 projects (1 spotlight, 1 workshop oral) at ICML 2025; Outstanding Paper Award at AAAI 2024 for the paper 'Proportional Aggregation of Preferences for Sequential Decision Making'; Published multiple papers such as 'Answer Matching Outperforms Multiple Choice for Language Model Evaluations'.
Research Experience
- Started as a Research Scientist intern at Meta GenAI London in June 2025; First Quantitative Research Intern in India at Millennium (American Hedge Fund) in June 2023, working on AutoML for trading.
Education
- Started a PhD in Tübingen (Germany) in September 2024, co-advised by Jonas Geiping (ELLIS, MPI-IS) and Douwe Kiela (Contextual AI, Stanford). Defended his master's thesis on 'New Frontiers for Machine Unlearning' at IIIT Hyderabad in May 2024.
Background
- An AI researcher, currently co-advised by Jonas Geiping and Douwe Kiela through the ELLIS PhD program. Interested in finding novel ways to scale supervision for models, making them more useful and safe. Focuses on evaluating model capabilities beyond knowledge, including inductive reasoning, better questioning, and long-horizon execution.
Miscellany
- Loves problem solving and learned a lot from ecosystems like the International Olympiads of Informatics and Linguistics, Exun Clan, and the broader tech circuit in Delhi. Grateful for mentorship from Amartya Sanyal, Ameya Prabhu, Dan Hendrycks, Dominik Peters, Mikel Forcada, Mukesh Kumar, Jérôme Lang, Jorge Gracia, Ponnurangam Kumaraguru, Saujas Vaduguru, and Tanmoy Bhattacharya, which allowed exploration of diverse research areas including Machine Learning, Interpretability of LLMs, Social Choice Theory, Machine Translation, Semantic Evolution, and more.
