Talks and presentations

Selected keynotes, invited talks, conference presentations, and posters across AI for science, interpretable machine learning, cardiac modeling, and scientific computing. Where available, entries include slides, video, or external event pages.

Autoresearch Discovery of Interpretable Filter Rules for Antibody Binder Classification

July 24, 2026

Invited Talk, NVIDIA Research (Digital Biology / BioNeMo), Santa Clara, CA, USA (virtual)

Invited talk to NVIDIA’s Digital Biology / BioNeMo and Fundamental Generative AI Research teams on an “autoresearch” loop in which an LLM acts as an automated experimenter: it proposes interpretable filter rules over signals already available in a design pipeline (AlphaFold3 confidence, ProteinMPNN, antibody structural self-consistency), evaluates them under strict held-out protocols, logs each result, and iterates. Across several benchmark datasets the loop discovers compact, human-readable scoring rules that reach parity with supervised ML and state-of-the-art LLM prompting, with no model training and no LLM call at inference. The talk closes by framing the loop as symbolic regression with an LLM in the experimenter’s seat, connecting it to the interpretable-ML and equation-discovery line of work.

Deep Symbolic Optimization for Scientific Discovery

March 27, 2023

Symposium talk, AAAI 2023 Spring Symposium on Computational Approaches to Scientific Discovery, Hyatt Regency, San Francisco Airport, California

Symposium talk on deep symbolic optimization as a framework for scientific discovery across symbolic regression, control, and other structured design problems.

Improving Exploration in Policy Gradient Search

May 03, 2021

Workshop talk, 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021, Virtual

Workshop talk on improving exploration in policy-gradient search for symbolic optimization problems.