Research

22+ Peer-Reviewed
Bio Papers.

4 oral presentations. 5 venues. Real-world validated methods in drug discovery, Alzheimer's disease, and biomedical AI.

AAAI ICLR NeurIPS ELLIS AI4X-AC

Our Validated Research

Peer-reviewed publications demonstrating our technical expertise and innovation in AI-powered biomedical science.

22+
Papers
4
Oral Presentations
5
Venues
r>0.99
Validated
Conference Rankings — Why These Venues Matter
AAAI-26 ↗h5-index 212 · Top-3 Global AI Conference
ICLR 2026 ↗h5-index 286 · #1 Machine Learning Conference
MLGenX ↗ICLR-affiliated · Generative Molecular AI Workshop
NeurIPS ↗h5-index 337 · World's Most-Cited AI Conference
ELLIS ↗Top European ML Society · ML4Molecules
AI4X-AC ↗Applied AI for Science · Ljubljana, Slovenia · International peer-reviewed
IROS ↗h5-index 75 · Premier Robotics & AI Conference
2026 19 papers
Agentic Causal Graph Learning for Drug Target Discovery
David Scott Lewis, Enrique Zueco
Drug DiscoveryCausal Learning
AAAI-26 · AIDD ↗ POSTER #31
The Algorithmic Alchemist: De Novo Drug Design
David Scott Lewis, Enrique Zueco
Drug DiscoveryDe Novo Design
AAAI-26 · AIDD ↗ POSTER #34
Acceleration of Molecular Discovery via Active Learning
David Scott Lewis, Enrique Zueco
Drug DiscoveryActive Learning
Neuro-Symbolic AI for Alzheimer's Disease
David Scott Lewis, Enrique Zueco
Alzheimer'sNeuro-Symbolic
Graph of Thoughts Nanobiomaterials Assistants
David Scott Lewis, Enrique Zueco
Biomedical AIGraph Reasoning
Causal Molecular Generation with Verified Synthesis Planning
David Scott Lewis, Enrique Zueco
Drug DiscoveryCausal Generation
Alzheimer's Drug Discovery via Active Causal Hypothesis Testing on NAD+
David Scott Lewis, Enrique Zueco
Alzheimer'sHypothesis Testing
Biomedical Reasoning with Neuro-Symbolic Agents: Verified Biomarker Pipelines
David Scott Lewis, Enrique Zueco
Biomedical AINeuro-Symbolic
Physics-Informed Surrogate Models for Verified Molecular Generation with DFT-Level Accuracy
David Scott Lewis, Enrique Zueco
Drug DiscoveryPhysics-Informed
Generative Models for Neuroprotective Compound Design: ADMET-Constrained Optimization
David Scott Lewis, Enrique Zueco
Biomedical AIGenerative Models
Brain Resilience Modeling via Physics-Informed Neural Networks
David Scott Lewis, Enrique Zueco
Biomedical AIBrain Resilience
High-Content Cell Painting Analysis for Drug Response Prediction
David Scott Lewis, Enrique Zueco
Drug DiscoveryCell Painting
AI-Optimized Cancer Treatment Scheduling with Verified Agentic Pipelines
David Scott Lewis, Enrique Zueco
Biomedical AICancer Treatment
De Novo Molecular Design for Neurodegenerative Targets with Causal ADMET
David Scott Lewis, Enrique Zueco
Drug DiscoveryDe Novo
Multi-Scale Toxicity Screening via Verified Agentic Pipelines
David Scott Lewis, Enrique Zueco
ToxicologySafety
Generative Models for Neuroprotective Compound Design with Causal ADMET Prediction
David Scott Lewis, Enrique Zueco
Alzheimer'sGenerative
Causal Molecular Reasoning for Alzheimer's Drug Target Identification
David Scott Lewis, Enrique Zueco
Alzheimer'sCausal
Verified Synthesis Planning for Neuroprotective Lead Compounds
David Scott Lewis, Enrique Zueco
Drug DiscoverySynthesis
2025 3 papers
Active Causal Hypothesis Testing for AI-Guided Drug Target Discovery
David Scott Lewis, Enrique Zueco
Drug DiscoveryNeurIPS AI4D3
Physics-Informed Surrogates for Molecular Simulation
David Scott Lewis, Enrique Zueco
Drug DiscoveryML4Molecules
IROS 2025 ↗ INVITED
Building a Robot Scientist: From Reasoning to Autonomous Discovery
David Scott Lewis, Enrique Zueco
Biomedical AIAIR4S

Our Research Validates Our Methods

Each paper demonstrates the scientific rigor and innovation behind our platform. Let us show you how our validated approaches can accelerate your discovery timeline.