THE CAPABILITIES BEHIND THE DISCOVERIES

Scientific judgment,
supported by technical depth.

01

AI & technology evaluation

Find capabilities beyond a model’s original objective. Test predictions, understand limitations, and define the evidence needed for adoption.

02

Computational biology

Connect RNA biology, functional genomics, and multi-omics to explain disease mechanisms and generate testable hypotheses.

03

Drug discovery strategy

Translate molecular and clinical evidence into target prioritization, patient-stratification hypotheses, and the next experiment.

04

Discovery from limited patient data

Extract useful biological signals from sparse or challenging clinical material, then strengthen the interpretation with independent evidence.

05

Scientific leadership & platforms

Build computational functions and reproducible workflows. Bring computational, experimental, and leadership teams to a shared scientific decision.

BUILDING WHAT THE QUESTION NEEDS

When the method is missing,
develop it.

PSI-SIGMA · BIOINFORMATICS 2019

Making RNA differences easier to detect

I designed and implemented PSI-Sigma to analyze alternative splicing using short- and long-read RNA sequencing. Developing a reusable method makes a way of seeing biology available to other researchers.

Value: a published analytical tool that supports further discovery.

Read the method ↗

SMN2 · NUCLEIC ACIDS RESEARCH 2022

Connecting sequence changes to therapeutic design

My analysis of minigene experiments mapped elements controlling SMN2 splicing, including previously uncharacterized elements. The work connected experimental measurements to a biological question relevant to antisense-oligonucleotide design.

Read the study ↗
Technical foundation

Python, Perl, C/C++, JavaScript, Linux/Unix, AWS, Nextflow, RNA-seq, NGS, and multi-omics analysis.

BACKGROUND

Scientific depth.
A broader perspective.

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.

Education

PhD, Biomedical Informatics
National Yang-Ming University · 2009–2013

MBA, Management Information Systems
West Texas A&M University · 2004–2005

  1. 2023–2026

    Codify Therapeutics

    Associate Director, Bioinformatics

  2. 2020–2023

    Skyhawk Therapeutics

    Principal Scientist, Bioinformatics & Machine Learning

  3. 2015–2022

    Cold Spring Harbor Laboratory

    Adrian R. Krainer Lab
    Computational Postdoc, 2015–2020
    Visiting Scientist, 2020–2022

  4. 2006–2015

    Early research in Taiwan

    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

A record of
collaborative discovery.

Selected collaborative research. Labels show my authorship position; co-first denotes a shared-first contribution. Some titles are abbreviated for readability.

Full publication bibliography ↗