(he/him)
Lecturer in Computer Science & Data Science
PhD Biological Sciences (Comparative Genomics)
2016-09-01
2021-06-15
University of California, Irvine
MS Biological Sciences
2014-09-01
2019-06-15
University of California, Irvine
BS Computer Science (Biomedical Computing)
2010-09-01
2014-06-15
University of California, Irvine
My research focuses on harnessing AI and bioinformatics to ensure food security and species conservation in the face of climate change.
I leverage machine learning, computer vision, and high-performance computing to analyze large-scale genomic datasets and develop predictive models for agriculture and conservation. My work spans five key areas:
Interested in collaboration? Please reach out!
Discovery of the molecular basis for daily sex alternation in avocado flowers, revealing ancient balanced polymorphism in a key transcription factor.
Co-first author discovery of novel miRNA-like structures in maize genes correlating with small RNA production and epigenetic regulation.
First-author study on avocado domestication and the genetic basis of its unique flowering behavior. Published in G3: Genes|Genomes|Genetics.
AI-based tool for improving diploid genome assembly by removing secondary haplotigs. First-author publication.
Comprehensive study of structural variant diversity across 50 grapevine genomes revealing selection pressures during domestication. Published in Nature Plants (Impact Factor ~15).
Our AI-assisted sex determination research featured in SDSC, ACCESS-CI, SeafoodSource, and Hatchery International.
New position applying AI to predict and forecast antimicrobial resistance.
Secured ~$465,000 in funding from USDA NIFA for AI-Assisted Sex Determination in Sturgeon.
Diverse patterns of secondary structure across genes and transposable elements are associated with siRNA production and epigenetic fate
Insights into the domestication of avocado and potential genetic contributors to heterodichogamy
Appointed as Lecturer in Computer Science and Engineering at UC San Diego.
Developing solar-powered edge computing and ecological monitoring systems for climate-resilient environmental research. Currently in prototyping phase.
Democratizing AI by developing accessible computer vision tools for non-expert users.
Developing computer vision and machine learning approaches for non-invasive sex determination in sturgeon aquaculture. Active USDA NIFA grant (~$465K).
Co-first author discovery of novel miRNA-like structures in maize genes correlating with small RNA production and epigenetic regulation (Genome Research 2023).
Research on avocado domestication and the genetic basis of heterodichogamy - the unique daily sex alternation in avocado flowers. First-author publication in G3 (2023).