Computational biology · Bioinformatics
I am from Peru and hold a B.Sc. in Environmental Engineering. My research experience includes bioinformatics and computational biology, and I will begin a PhD in Computational Biology at Cornell University in August 2026.
Methods
About
I am from Peru and hold a B.Sc. in Environmental Engineering from Universidad Peruana Cayetano Heredia. My research experience includes bioinformatics, computational biology, environmental biotechnology, and molecular biology.
In the Moghe Lab at Cornell University, I work on computational methods for literature mining and gene-function research. Earlier projects in Peru and at UC Berkeley/USDA included metagenomics, protein modeling, immunoinformatics, plant–microbe interactions, and synthetic biology.
In August 2026, I will begin a PhD in Computational Biology at Cornell University with support from the SUNY Fellowship.
Experience
Ithaca, NY
Plant Science Department, Cornell University - PI: Gaurav Moghe, PhD
Building computational workflows in the Moghe Lab as part of the C-SPIRIT research team, connecting uncharacterized plant metabolites with genes, tissues, species, and stress-related traits.
Plant Gene Expression Center, UC Berkeley - USDA - PI: Devin Coleman-Derr, PhD
Studied drought-associated plant-microbe interactions in sorghum, connecting greenhouse work, RNA extraction, phenotyping, and Streptomyces genomics.
Bioinformatics and Molecular Biology Laboratory, UPCH - PIs: Mirko Zimic, PhD and Patricia Sheen, PhD
Worked across pathogen bioinformatics, antigen modeling, metagenomics, and molecular biology platforms in a lab spanning health and environmental applications.
Laboratory of Functional Genomics, UPCH - PI: Luis De-Stefano, PhD
Built a field-to-sequencing workflow to study how biofertilizer treatments may shift avocado rhizosphere microbiomes.
Laboratory of Andean-Amazonian Chemistry of Life, UPCH - PI: Denis Castillo, PhD
Developed and analyzed biodegradable hydrogels as a controlled-release approach for agricultural nitrogen management.
Publications
Articles
5 papers
Reviews
2 reviews
Projects
Protein foundation-model representations for substrate-class prediction
A Cornell deep-learning course project using frozen ESM3 representations and downstream classifiers to study enzyme substrate classes and residue-level signals.
View repositoryInteractive rotary embeddings teaching demo
A static, dependency-free visual demo for teaching rotary positional embeddings, including real RoPE formulas and cosine-similarity comparisons.
View repositoryMentor-mentee collaboration tracker
Built for REU mentoring, this shared workspace helps mentor-mentee teams track notes, tasks, deadlines, and Google Docs/Sheets sync.
View repositoryComputer vision for saccadic eye movement analysis
A small computer-vision workflow for tracking eye movement responses from video and extracting interpretable motion features.
View repositorySketch feature classification with deep learning embeddings
A machine-learning experiment using learned image embeddings to classify sketch-derived visual features.
View repositoryA practical AI tools guide for plant scientists
A companion repository for the Plant Cell review, collecting relevant AI tools and learning resources for plant scientists.
View repositoryEducation
Cornell University
Incoming PhD student in Computational Biology at Cornell University, funded by the SUNY Fellowship.
Universidad Peruana Cayetano Heredia, Lima, Peru
Graduated with a GPA of 3.86 and ranked second in order of merit across the Environmental Engineering program.
Recognition
Selected support, awards, presentations, and public science.
Funding & honors
Talks & media
Community
Selected roles in training, synthetic biology, and student leadership.
Contact
For research or academic correspondence, please contact me by email.