I am a computational biologist with an M.S. in Bioinformatics from Johns Hopkins University with a passion for working at the intersection of biology, data, and software engineering. I have experience in bioinformatics and omics analytics (NGS and immune profiling), biostatistics/visualization, as well as ML-driven discovery with a strong focus on reproducibility using git, Linux/HPC and cloud environments. I also have a background in drug discovery and structural biology/molecular modeling/molecular dynamics simulations, providing a computational chemistry perspective where appropriate. I have contributed across academic and industry settings, collaborate well with cross-functional teams, and care deeply about rigorous, biologically grounded analysis, from experimental context to interpretation and communication of results.
Bioinformatics • Aug 2024 - May 2026
Biotechnology, First Class with Distinction • Jun 2019 - Jul 2023
Bioinformatics Engineer • 09/2024 - Present
I lead the computational analysis for an R01-funded PhIP-Seq antibody-profiling project in Dr. Benjamin H. Larman's lab, across early-onset colorectal cancer, late-onset colorectal cancer, polyp, and healthy control cohorts, owning the analysis strategy, QC, statistics, and interpretation. I am developing an interpretable machine learning framework based on stability selection to recover reproducible cancer-associated antibody-reactivity signatures from sparse, high-dimensional PhIP-Seq data. I also design and maintain the computational workflows for InFlux, a U01-funded highly multiplexed NGS-based influenza A neutralization assay, including cohort-level QC, validation logic, and reproducible reporting.
Summer Bioinformatics Intern • 06/2025 - 08/2025
Based in Baltimore, USA, I benchmarked and optimized NGS-based MIPSA analysis pipelines on AWS EC2 by evaluating aligners and improving I/O handling, reducing runtime from approximately 24 hours to 6 hours and lowering compute cost by approximately 75%. I contributed to EpitopeFindeR 2, a reproducible peptide-sequence pipeline that uses FoldDisco-based structural mapping to identify continuous and discontinuous epitopes and localize antibody binding sites on antigen structures. I also built Latch Bio workflows and a sequence-space visualization module so that client-facing epitope mapping analyses could be run and inspected without engineering support.
Junior Research Fellow • 11/2023 - 08/2024
I have worked on various computational biology projects, including the study “Decoding Non-Human Mammalian Adaptive Signatures of 2.3.4.4b H5N1 to Assess its Human Adaptive Potential” , which provided a quantitative assessment of adaptive signatures in non-human mammals to evaluate the zoonotic potential of the 2.3.4.4b H5N1 influenza virus. Another project, “Bat RNA Viruses Employ Viral RHIMs to Orchestrate Species-Specific Cell Death Programs Linked to Z-RNA Sensing and ZBP1-RIPK3 Signaling” , explored how bat RNA viruses utilize viral RHIMs to regulate species-specific cell death pathways via Z-RNA sensing and ZBP1-RIPK3 signaling. I also helped show that neuraminidase stalk length and haemagglutinin glycosylation patterns can bias segment pairing and promote reassortment routes linked to the emergence of highly pathogenic clade 2.3.4.4b A(H5N1).
Project intern • 11/2021 - 08/2023
Performed molecular dynamics simulations of SAICAR synthase comparing Mg2+-bound and apo states, revealing ion-dependent conformational changes; the project received Best Undergraduate Thesis recognition. I also assisted molecular dynamics and free-energy analyses of CETP mutants, showing structural distortions associated with reduced neutral lipid transfer efficiency.
Summer research intern • 08/2022 - 11/2022
Performed virtual screening of natural product libraries against LuxS, followed by docking, ADMET, and MD/MM-PBSA validation to nominate hits that could disrupt AI-2 signaling in Helicobacter pylori.
Research Associate • 05/2020 - 08/2023
Worked on molecular dynamics simulations, virtual screening, genome informatics, and statistical data analysis while building Python scripts, Bash workflows, and GUI tools for research use. I also supported practical bioinformatics training programs and mentored students through hands-on computational biology workflows.
Summer research intern • 05/2021 - 10/2021
Worked in R&D with a focus on dietary management for patients with inborn errors of metabolic disorders.
Pipelines and research tools I have built or maintain. Production pipelines developed inside the Larman Lab are described here but are not publicly released.
Reproducible high-throughput virtual screening on Linux, with a CLI and a GUI. Prepares receptors and ligand libraries and docks them across four engines. Screens run detached and resume after interruption; pinned dependencies and per-run manifests make results reproducible on another machine.
Production PhIP-Seq pipeline, which I run and maintain. Takes demultiplexed sequencing reads through alignment, QC, enrichment testing, hit calling, and reactivity scoring.
A memory-bounded R rewrite of the PhIP-Seq pipeline's summarisation step. Collapses peptide-level counts to proteins and joins annotations; a drop-in replacement for the original.
Snakemake and SLURM workflow for the InFlux influenza neutralization assay, covering read processing, QC, quantification, titration modeling, and neutralization curves.
Extension of the PhIP-Seq pipeline's reactivity scoring, which scores whole organisms or peptide groups rather than single peptides, with support for groupwise comparisons.
Python and Bash pipeline that builds 2D antigenic maps for H1N1 and H3N2 from neutralization data using multidimensional scaling.
Models longitudinal immune-cell frequencies from a clinical-trial dataset in a SQLite schema and serves responder comparisons through an interactive dashboard.
Shell scripts that reproduce the PhIP-Seq pipeline's dependency stack on a clean machine.
Jupyter notebooks for running GROMACS molecular dynamics simulations in Colab.
.xvg output.Microbiology Spectrum
DOI: https://doi.org/10.1128/spectrum.00948-25
Cell iScience
DOI: https://doi.org/10.1016/j.isci.2024.111444
Computers in Biology and Medicine
PMID: 39536388 | DOI: https://doi.org/10.1016/j.compbiomed.2024.109409
Cell Heliyon
PMID: 38298631 | DOI: https://doi.org/10.1016/j.heliyon.2024.e24470
ACS Omega
PMID: 38559955 | DOI: https://doi.org/10.1021/acsomega.3c09355
Journal of Biomolecular Structure and Dynamics
PMID: 36307909 | DOI: https://doi.org/10.1080/07391102.2022.2137245
Journal of Biomolecular Structure and Dynamics
PMID: 37144749 | DOI: https://doi.org/10.1080/07391102.2023.2208224
Journal of Biomolecular Structure and Dynamics
PMID: 37160706 | DOI: https://doi.org/10.1080/07391102.2023.2210674
Journal of Biomolecular Structure and Dynamics
PMID: 37272194 | DOI: https://doi.org/10.1080/07391102.2023.2220045
Journal of Molecular Structure
DOI: https://doi.org/10.1016/j.molstruc.2024.139963
Research on Chemical Intermediates
DOI: https://doi.org/10.1007/s11164-024-05305-6
International Journal of Biological Macromolecules
PMID: 40316117 | DOI: https://doi.org/10.1016/j.ijbiomac.2025.143665
Happy to hear about new projects, roles, or collaborations. Email is the best way to reach me.