Lab profile
About AI4BIO
AI4BIO develops advanced AI/ML methods to decipher the intricate language governing cellular structure, function, and communication across biological contexts from normal development to incurable human diseases. The center builds multiscale AI modeling frameworks for cohesive understanding of genomes, cells, and tissues, leveraging breakthroughs like LLMs to interpret biological data from single-cell genomics, high-resolution imaging, and genome engineering.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- AI-Driven Automation for Microbial Genotype–Phenotype DiscoveryPairs predictive modeling with automated, high-throughput experiments to learn how genotype and environment jointly shape time-resolved microbial growth, using active learning to prioritize the most informative measurements.
- ML-guided engineering of biomolecular condensates in an automated labUses Bayesian optimization to drive a closed-loop design-build-test cycle for synthetic condensates, iteratively proposing sequences and validating condensate properties in an autonomous lab.
- Integrating AI and Automated Genomics to Accelerate the Development of Gene TherapiesIntegrates automated cloning and high-throughput evaluation with AI-driven screening to optimize AAV performance and cell-type targeting, using representative cell lines as an initial proof of concept.
- A 'lab-on-the-loop' approach for stem cell researchUses laboratory automation to build a dataset of reprogramming outcomes across combinatorial media and protocol variations, then learns interpretable models that predict and improve cell-state transitions.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Augmenting electronic health records for adverse event detection.Journal of biomedical informatics · 2026
- The Vertebrate Genomes Project Phase I: A global reference genome resource.bioRxiv : the preprint server for biology · 2026
- Deleterious coding variation associated with autism is shared across ancestries.Nature medicine · 2026
Active NIH grants
- Linking substance use genetics to circadian function using high-throughput genomicsAndreas Pfenning · NIDA · FY 2026
- Methods for single-cell CRISPR screens and multiomic data: constructing powerful well-calibrated tests, circumventing unmeasured confounding, and accounting for denoising and imputationKathryn Roeder · NIMH · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- AI4BIO Selects Inaugural Projects for Biomedical DiscoveryNewsMar 6, 2026
- CMU Launches Center for AI-Driven Biomedical ResearchNewsOct 3, 2024
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.