The 9th Annual Simons Institute Industry Day will be Thursday, November 2, 2023, at 9:30 a.m. PST in Calvin Lab Auditorium.

The goal of the day is to facilitate exchange and collaboration between the Institute’s Industry Partners and graduate students, postdoctoral research fellows, and senior researchers at the Institute and across the Berkeley campus. 

Participation is open to the Simons Institute's Industry Partners and Sponsors, organizers, research fellows and scientists in Institute programs, and members of the Berkeley community.

Learn more about our Industry Partnerships program here, or contact Senior Development Director Amy Ambrose for further information at amyambrose [at] or +1 510 944 6674.


Thursday, November 2, 2023
Schedule subject to change

The event booklet is here: Agenda, Abstracts, Speaker Bios for Industry Day 2023

9:30 – 10:00 am


Coffee and Check-In

10:00 – 11:00 am      


Introduction and Program Highlights

LLMs and Transformers: Umesh Vazirani

Logic and Algorithms In Database Theory and AI: Hung Ngo

Data Structures and Optimization for Fast Algorithms: Aaron Sidford

Error-Correcting Codes: Theory and Practice: Venkat Guruswami

Quantum Algorithms, Complexity, and Fault Tolerance: Sandy Irani

Sublinear Algorithms: Jelani Nelson

Modern Paradigms in Generalization: Matus Telgarsky

Cryptography 10 Years Later: Obfuscation, Proof Systems, and Secure Computation: Abhishek Jain

11:00 – 11:15 am


Networking Break

11:15 am - 12:30 pm


Unique Challenges and Opportunities in Working with Residential Real Estate Data, Takamitsu Tanaka, Head of Data and AI, Managing Director, Roc360

Lemur: Integrating Large Language Models in Automated Program
Nina Narodytska, Research Scientist, VMware

Introducing RelationalAI, Molham Aref, CEO, RelationalAI

Can Transformers Learn Algorithms? Mechanisms of Length Generalization, Preetum Nakkiran, Research Scientist, Apple

Market Algorithms for Autobidding, Gagan Aggarwal, Research Scientist, Google

12:30 – 2:00 pm



2:00 – 3:00 pm


Lightning Talks by Research Fellows

Vertex Connectivity in Poly-logarithmic Max-flows, Sorrachai Yingchareonthawornchai

Join Algorithms Meet New Constraints: Scalability, Latency and Privacy, Xiao Hu

Relational Programming, Remy Wang

Probabilistic Reasoning and Learning for Trustworthy AI, YooJung Choi

Non-monotonic convergence of gradient descent with large stepsize, Jingfeng Wu

How Close is Close Enough? Solving Linear Programs When Rounding Just Won't Cut It! Bento Natura

How looking at a problem quantumly could solve it faster? Hamoon Mousavi

Decoding the Maze: New Frontiers in Achieving Nash Equilibrium in AI Architectures, Manolis Vlatakis Gkaragkounis

From Robustness to Privacy and Back, Lydia Zakynthinou

3:00 – 3:15 pm



3:15 pm


Special Sessions

3:15 – 4:30 pm





10min break


4:40 - 5:30 pm


Wellbeing, AI, and You: Developing AI-based Technology to Enhance our Wellbeing, Alon Halevy, Director, Facebook AI, Meta

Theory matters: how to build a successful company by trusting theoreticians, Molham Aref, CEO, RelationalAI

DBSP: A unified (practical) theory of databases, streams, and incremental computation, Mihai Budiu, Chief Scientist/Co-Founder/Leonid Ryzhyk, CTO/Co-Founder, Feldera


Challenges in Research on Practical Algorithms, Andrew Goldberg, Scientist

The Data Science behind Cruise’s Robotaxi Fleet, Or Cohen, Senior Staff Data Scientist, Cruise

5:30 pm



5:30 – 6:00 pm


Pre-Dinner Reception at Faculty Club

6:00 pm


Dinner at Faculty Club


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Participation is open to the Simons Institute's Industry Partners and Sponsors, program organizers, research fellows and participating scientists, and members of the Berkeley community.