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CV - Druv Pai 
Druv Pai
Ph.D. student @ UC Berkeley developing theory for large-scale empirical deep learning.
- Bay Area, CA, USA
- Github
- Google Scholar
CV
Education
- Ph.D in EECS @ UC Berkeley, Fall 2023 - ?
- M.S. in EECS @ UC Berkeley, Fall 2022 - Spring 2023, GPA 4.0/4.0
- B.A. in CS @ UC Berkeley, Fall 2018 - Spring 2022, GPA 4.0/4.0
Industry Experience
- Fall 2025: Student Researcher @ Google DeepMind
- Summer 2025: Student Researcher @ Google Research
- Summer 2024, Fall 2024: Machine Learning Researcher Intern @ NexusFlow
- Summer 2020, Summer 2021: Software Engineering Intern @ Amazon
- Summer 2019: Machine Learning Engineer Intern @ SymphonyAI
Programming Languages, Frameworks, and Tools
- Python, Java, C++, C, x86
- Jax and assorted libraries [1] [2] [3] [4], PyTorch and assorted libraries [1] [2] [3] [4] [5]
- Git, Linux, *sh
Publications
Discussed in more detail in my publications page.
Invited Talks, Presentations, and Posters
- Presented on “Learning Deep Representations of Data Distributions” @ IAISS 2025, September 22, 2025.
- Presented on “White-Box Transformers, Structured Denoising-Diffusion, and Closed-Loop Transcription” @ ICASSP 2024 Tutorials, April 14, 2024.
- Presented on “White-Box Transformers and Closed-Loop Transcription” @ Laplace Reading Group, Google DeepMind, April 11, 2024.
- Presented on “White-Box Transformers” @ MoDL Annual Meeting, September 28-29, 2023.
- Presented on “White-Box Transformers” @ ANSR Weekly Meeting, September 1, 2023.
- Presented on “White-Box Transformers” @ Tsao Lab Reading Group, September 13, 2023.
NB: This section only has talks, presentations, and posters not disclosed in my publications page.
Teaching
Discussed in more detail in my teaching page.
Service, Leadership, Outreach
- Participated in the BAIR Undergraduate Mentorship Program, Fall 2023.
- Served on organizing committee for THEORINET Retreat 2023.
- Reviewer for the following publication venues:
- Conferences and Workshops
- ICLR 2025
- NeurIPS 2025
- ICML 2025
- AISTATS 2025 (Best Reviewer)
- CPAL 2025
- ICLR 2025 (Notable Reviewer)
- NeurIPS 2024
- NeurIPS 2024 Workshops: M3L, SciForDL
- ICML 2024
- Journals
- Conferences and Workshops
Awards
- UC Berkeley College of Engineering Fellowship, 2023 – Present.
NB: This section only has awards not disclosed in my publications page or teaching page.