Molecular Biologist & Bioinformatician
“Decoding the language of cells through multi-omics, biophysics, and machine learning.”
I am a molecular biologist-turned-bioinformatician passionate about exploring the intersection of life sciences, computer science, and data. My research focuses on leveraging multi-omics analysis, computational biophysics, and structural biology to uncover complex cellular mechanisms and expedite rational drug discovery.
Driven by curiosity and a desire to build reproducible research tools, I transition daily between wet-lab biochemical validation and high-performance computing clusters. I believe that the future of medicine lies in our ability to translate massive sequencing and structural datasets into actionable biological insights.
Starting at the physical bench allows me to appreciate the biochemical complexities and sample realities behind the massive computational biological datasets I process today.
My scientific journey began at the lab bench. I spent hours pipetting, culturing cells, and performing PCRs. While I loved the precision of molecular biology, I soon realized that the sheer volume of biological data being generated was outpacing our ability to analyze it with traditional methods. I found myself drawn to the computational side of science.
To bridge this gap, I taught myself programming, data analysis, and advanced bioinformatics. This transition wasn't just about learning to code; it was about shifting my mindset from studying single genes to analyzing entire systems. Today, I leverage my deep understanding of wet-lab realities to design realistic, biologically relevant in silico models and pipeline architectures.
Synthesizing genomic, transcriptomic, and proteomic datasets to build a holistic, system-level understanding of disease pathways and regulatory networks.
Running molecular dynamics (MD) simulations to explore protein-ligand interactions, conformational transitions, and the physical forces driving biological assemblies.
Predicting and analyzing 3D macromolecular structures using AlphaFold, molecular docking, and structural comparison tools to drive rational drug design.
Developing scalable, containerized analysis workflows using Nextflow and Snakemake to ensure scientific reproducibility and ease of deployment.
Leading a small team of researchers analyzing high-throughput single-cell RNA sequencing datasets and designing machine learning classifiers for oncology biomarkers.
Conducted high-performance virtual screening and nanosecond-scale molecular dynamics simulations to identify novel small-molecule inhibitors for therapeutic targets.
Executed cell-based assays, CRISPR gene-editing experiments, and western blotting to validate computer-generated drug candidates.
Applying molecular precision to water chemistry, grind profiles, and extraction parameters for the perfect V60 pour-over.
Assembling custom mechanical keyboards with tactile switches and compiling custom QMK firmware layouts.
Deep-diving into complex topics like complex systems, history of science, evolution, and computer architectures.
Exploring lush tropical rainforests and mountain trails to unplug from monitors and recharge in nature.
Instructor - Bioinformatics
2022-PresentLecturer - Biology
2021Research Assistant
2018-2020Research Intern, Homeostatic Development Lab
2018