23+ Peer-Reviewed Papers

Research Publications

Our team has published 23+ peer-reviewed papers across the world's top AI and computational biology venues, including 3 oral presentations at AAAI-26 in Singapore.

Conference Presentations

3 oral presentations, 6 poster sessions, and 2 workshops at the 40th AAAI Conference on Artificial Intelligence in Singapore.

David Scott Lewis presenting at AAAI-26 Singapore David Scott Lewis at AAAI-26 Singapore
Oral AAAI-26 Drug Discovery

The Algorithmic Alchemist: Bayesian Optimization Meets Generative AI for Accelerated Drug Discovery

David Scott Lewis, Enrique Zueco, et al.
Oral AAAI-26

Polyculture Agents for Financial AI: Preventing Echo Chambers in Autonomous Trading Systems

David Scott Lewis, Enrique Zueco, et al.
Oral AAAI-26

Neuro-Symbolic Legal Reasoning with Causal Precedent Graphs

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26 Drug Discovery

Cross-Domain Transfer of Causal Discovery: From Molecular Graphs to Financial Networks

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26 Drug Discovery

BindCraft-AIXC: Structure-Aware Molecular Generation with Protein Binding Constraints

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26

Self-Falsification in Multi-Agent Research Pipelines: A Popperian Framework

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26

Accelerated Ceramic Composition Design via Causal Bayesian Optimization

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26

Causal World Models for Robotic Manipulation: Bridging Simulation and Reality

David Scott Lewis, Enrique Zueco, et al.
Poster AAAI-26

Causal Factor Discovery in Non-Stationary Financial Markets via Interventional Time Series

David Scott Lewis, Enrique Zueco, et al.
Workshop AAAI-26

CycleResearcher: Autonomous Literature Review with Self-Correcting Citation Graphs

David Scott Lewis, Enrique Zueco, et al.
Workshop AAAI-26 Drug Discovery

AI-Scientist v2: 3,000x Acceleration of Experimental Design through Autonomous Hypothesis Generation

David Scott Lewis, Enrique Zueco, et al.

Conference & Workshop Papers

Peer-reviewed publications across NeurIPS, ICML, ICLR, ISMB, IEEE, and leading AI symposia.

Poster NeurIPS 2025 Drug Discovery

AI for Drug Discovery (AI4D3): Causal Structure Learning in Protein Interaction Networks

David Scott Lewis, Enrique Zueco, et al.
Invited ELLIS 2025

Verified Autonomous Pipelines: Self-Falsification for Trustworthy AI-Driven Research

David Scott Lewis, Enrique Zueco, et al.
Invited Stanford HAI 2025 Drug Discovery

Domain-Agnostic Causal Discovery: A Unified Framework for Scientific Hypothesis Testing

David Scott Lewis, Enrique Zueco, et al.
Poster CIKM 2025

Physics-Informed Verification Surrogates for Autonomous Materials Discovery

David Scott Lewis, Enrique Zueco, et al.
Poster IEEE 2025

Formal Verification of AI-Generated Legal Arguments via Neuro-Symbolic Integration

David Scott Lewis, Enrique Zueco, et al.
Poster AAMAS 2025

Polyculture vs. Monoculture: Diversity Metrics for Multi-Agent Verification Systems

David Scott Lewis, Enrique Zueco, et al.
Poster ISMB 2025 Drug Discovery

Causal Protein Interaction Networks for Target Identification: A STRING v12.0 Case Study

David Scott Lewis, Enrique Zueco, et al.
Poster IROS 2025

Verified Sim-to-Real Transfer for Dexterous Manipulation via Physics-Informed Validation

David Scott Lewis, Enrique Zueco, et al.
Workshop Stanford FinAI 2025

Regime-Aware Causal Factor Models for Robust Portfolio Construction

David Scott Lewis, Enrique Zueco, et al.
Workshop NeurIPS Workshop 2025

Echo Chamber Detection in LLM-Based Research Agents: Metrics and Mitigation

David Scott Lewis, Enrique Zueco, et al.
Workshop ICML Workshop 2025 Drug Discovery

Diffusion Models for Multi-Objective Molecular and Materials Design

David Scott Lewis, Enrique Zueco, et al.
Workshop ICLR Workshop 2025

Benchmarking Autonomous Scientific Discovery: The AIXC Evaluation Suite

David Scott Lewis, Enrique Zueco, et al.
23+
Papers
11
Venues
3
Oral Presentations
8
Drug Discovery Papers

Collaborate With Us

We're actively seeking research partnerships with Alzheimer's foundations, academic labs, and clinical research organizations.