AI & technology evaluation
Find capabilities beyond a model’s original objective. Test predictions, understand limitations, and define the evidence needed for adoption.
THE CAPABILITIES BEHIND THE DISCOVERIES
Find capabilities beyond a model’s original objective. Test predictions, understand limitations, and define the evidence needed for adoption.
Connect RNA biology, functional genomics, and multi-omics to explain disease mechanisms and generate testable hypotheses.
Translate molecular and clinical evidence into target prioritization, patient-stratification hypotheses, and the next experiment.
Extract useful biological signals from sparse or challenging clinical material, then strengthen the interpretation with independent evidence.
Build computational functions and reproducible workflows. Bring computational, experimental, and leadership teams to a shared scientific decision.
BUILDING WHAT THE QUESTION NEEDS
Python, Perl, C/C++, JavaScript, Linux/Unix, AWS, Nextflow, RNA-seq, NGS, and multi-omics analysis.
BACKGROUND
Across academic research and biotechnology, I have repeatedly worked at the boundary of what our tools can reveal.
I work across computational and experimental disciplines, helping teams turn complex findings into clear scientific recommendations. My PhD in Biomedical Informatics and MBA in Management Information Systems inform both the technical work and the decisions around it.
PhD, Biomedical Informatics
National Yang-Ming University · 2009–2013
MBA, Management Information Systems
West Texas A&M University · 2004–2005
Associate Director, Bioinformatics
Principal Scientist, Bioinformatics & Machine Learning
Adrian R. Krainer Lab
Computational Postdoc, 2015–2020
Visiting Scientist, 2020–2022
Research roles at Taipei Medical University, National Yang-Ming University, and Academia Sinica
INVENTION
Co-inventor, US10953059B2
Methods and compositions for treating non-small cell lung cancer
RECOGNITION
SOAR Award, Skyhawk Therapeutics
2021
SELECTED TALKS
National Academies, 2023
London Calling, Oxford Nanopore, 2019
THE PUBLISHED RECORD
Selected collaborative research. Labels show my authorship position; co-first denotes a shared-first contribution. Some titles are abbreviated for readability.
Full publication bibliography ↗