Haeun Hwangbo
Scientist, Translational Informatics & Predictive Sciences @Bristol-Myers Squibb
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WORK HISTORY
Scientist, Translational Informatics & Predictive Sciences @Bristol-Myers Squibb
Cambridge, MA, US
Computational biologist focused on translational research in oncology, supporting early clinical development and biomarker discovery- Developing agentic AI framework (Amazon Bedrock) to automate complex translational analysis pipelines improving efficiency, reproducibility, and turnaround time- Developing benchmark framework for evaluating agentic AI for translational analysis- Contributing to precision medicine strategies for key programs including: PRMT5 inhibitor, anti-fucosyl GM1, KRAS G12D inhibitor, etc- Skilled at analyzing diverse datasets: RNA-seq, WES, ctDNA, flow cytometry, IHC, proteomics, cytokine, and more- Experienced with Python, R/Bioconductor, Git, and cloud/HPC environments for high-throughput data analysis- Comfortable working across disciplines, collaborating closely with translational scientists, clinicians, and software engineers
ABOUT HAEUN HWANGBO
I am a Ph.D. candidate studying Bioinformatics & Computational Biology at UNC-Chapel Hill. I am interested in translational and clinical research. Mainly, I am passionate about using computational approaches to develop better treatment options for cancer patients. My current research is focused on the impact of pharmacological interactions on clinical outcomes of cancer combination therapies and biomarker discovery.
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