Welcome!

Computational biologist with a Ph.D. in Computational Science from UC Irvine and SDSU, passionate about using data-driven approaches to uncover molecular mechanisms and advance biological discovery. My doctoral work integrated transcriptomics, network analysis, and machine learning to investigate how environmental exposures influence developmental toxicity.

Currently, as a postdoctoral scientist at Element Biosciences, I develop computational tools and methodologies for analyzing multiomic spatial single-cell datasets, integrating RNA, protein, and morphological data, to enhance biological interpretation and support next-generation sequencing technology development.

For more details on my research, visit my Research Page!


Experience

Computational Biology Postdoctoral Scientist, Data Science and AI (09/2025-present)
Element Biosciences

Quantitative Solutions Intern, Quantitative Systems Pharmacology (06/2022 - 08/2022)
Takeda Pharmaceuticals


Education

Doctor of Philosophy, Computational Science (2020 - 2025)
San Diego State University and University of California Irvine
Dissertation Title: Computational Models to Assess the Role of Environmental Exposures During Development

Bachelor of Science, Applied Mathematics, cum laude (2015-2019)
San Diego State University


Featured

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danRerLib Python Package

Excited to announce my new publication danRerLib: a python package for zebrafish transcriptomics!

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ARCS Scholar Recognition

I was recently recognized as an ARCS Scholar at the annual Scientist of the Year Event!

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George Lab

Check out the George Lab website for information about all the cool work we are working on!

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Fellowships and Scholarships

For a full list of my accomplishments, awards, projects, and much more please see my CV.


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