Leading scientific strategy, computational biology, and data-driven decision-making for a cardiometabolic drug discovery platform. Building the analytical and SaaS foundation for target discovery and advancing the pipeline from hypothesis through IND-enabling studies.

Creating hypotheses for leading assets in HFpEF indications; developing end-to-end bioinformatics platform for cardiovascular drug discovery.

Bioscope AI (SAB): Advising on AI-driven precision medicine platform integrating EHR, genomics, and phenotypic data for translational insights and clinical decision support.

Melior Discovery (ML Advisor): Leading ML strategy for modeling experimental variability in preclinical disease models to improve reproducibility and statistical power.

Led bioinformatics strategy and platform development for target discovery and translational research in metabolic and neurological diseases.

• Designed and deployed LexGPT, an AI-driven platform integrating internal experimental data with external genomic, genetic, and clinical datasets for scalable therapeutic target discovery
• Developed LexMission, a cloud-based multi-omics pipeline (Python/R/ShinyR) to prioritize disease-relevant gene targets across metabolism and neuroscience programs
• Led multi-omics transcriptome-wide analyses to identify and validate novel therapeutic targets
• Directed CRO collaborations to design functional genomics experiments supporting target validation
• Presented computational strategies and translational insights to executive leadership and board members

Led computational modeling and bioinformatics initiatives within an NIH SPARC-funded program studying cardiac neural circuits.

• Directed scRNA-seq analysis and computational modeling of neuronal subpopulations regulating cardiac function
• Developed and published reproducible bioinformatics workflows (SMART-3seq pipeline)
• Designed and taught graduate-level computational genomics curriculum; mentored trainees from high school through PhD level
• Contributed bioinformatics strategy to funded NIH grant applications

Developed COMPACT, a novel computational framework for comparative gene expression analysis; published in peer-reviewed journals. Conducted integrative multi-omics analyses characterizing transcriptional regulatory networks in tissue regeneration. Authored 4 first-author publications.

Designed and deployed CompleteMOTIFs, a scalable web-based bioinformatics platform for transcription factor binding analysis adopted by 100+ Harvard researchers.