Kyle Swanson
Computer Science · Purdue University West Lafayette
Publications
57
Citations
6,718
Est. group size
—
Recurring co-author estimate
Active years
37
Publishing since 1990
Kyle Swanson works at the intersection of machine learning and drug discovery, developing computational tools that predict drug toxicity and safety properties, design new antibiotics and antibodies, and use AI 'agents' to help automate biomedical research tasks. His work often combines generative AI and reinforcement learning with chemistry and biology data to propose new therapeutic candidates and evaluate their potential drug-like properties.
Publication output has grown substantially over the past decade, rising from occasional papers before 2019 to a sustained higher output of roughly 6-12 papers per year from 2023 to 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics
Molecular Systems Biology · 2026
- The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies
Nature · 2025
- ADMET-AI Enables Interpretable Predictions of Drug-Induced Cardiotoxicity
Circulation · 2025
- SyntheMol-RL: a flexible reinforcement learning framework for designing novel and synthesizable antibiotics
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- RL-Finetuning of OpenAI o1-mini to Enhance Biomedical Reasoning
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- ADMET-AI enables interpretable predictions of drug-induced cardiotoxicity
Journal of Molecular and Cellular Cardiology Plus · 2025
- ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries
Bioinformatics · 2024
- Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
Nature Machine Intelligence · 2024
- Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN
Nature Methods · 2024
- Language models for biological research: a primer
Nature Methods · 2024
- Clinical trials in-a-dish for cardiovascular medicine
European Heart Journal · 2024
- Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish
The Annual Review of Pharmacology and Toxicology · 2024
- The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels
medRxiv · 2024
- Abstract 4147781: ADMET-AI enables interpretable predictions of drug-induced cardiotoxicity
Circulation · 2024
- bioRxiv (Cold Spring Harbor Laboratory)×7
- ChemRxiv×6
- Zenodo (CERN European Organization for Nuclear Research)×4
- Journal of Chemical Information and Modeling×3
- Cell×2
- Eric M. Collins
Computer Science · Indiana University
- Sarah Maier
Computer Science · Indiana University
- Vishal Dey
Computer Science · The Ohio State University
- Anton V. Sinitskiy
Computer Science · Purdue University West Lafayette
- Patrick J. Lawrence
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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