hi, I'm Dom

Looking for bioinformatics and computational biology roles
starting June 2027.

I study computer science and biology at MIT. Previously
at Eli Lilly, Novartis, and the Broad Institute.

research & projects

Poster: Predicting Tumorigenic Potential of Human Cancer Cell Lines in Mice

Novartis Oncology Data Science Internship

research ยท May โ€“ Aug 2025

Integrated bulk RNA-seq data with tumorigenicity outcomes to identify transcriptomic features linked to successful tumor formation, and trained a machine learning model to prioritize cell lines by their in vivo tumor-forming potential.

What I learned

  • Differential gene expression and gene set enrichment analysis
  • Machine learning: random forest, Naive Bayes, logistic regression, and linear regression
  • Scanpy for single-cell RNA-seq data analysis

Prizes received

  • 1st Place: Innovation in Research โ€“ Data Science
  • 2nd Place: Innovation in Research โ€“ Overall
  • 2nd Place: Innovation in Research โ€“ Scientific Content & Merit
  • 3rd Place: Poster Display & Presentation
View paper View poster

Eliezer Calo Lab: tRNA Analysis via Nanopore Sequencing

research ยท Jan โ€“ Aug 2025

Evaluated Nanopore tRNA sequencing for quantifying tRNA abundance and detecting fragments, focusing on maturation defects and fragment accumulation following DDX1 perturbation.

What I learned

  • Bioinformatics analysis of Nanopore sequencing data
  • NanoPlot for read quality control, BWA for alignment, and DESeq2 for differential expression
View code Lab website

Anders Sejr Hansen Lab: Bidirectional Promoters

research ยท Jan 2024 โ€“ Jan 2025

Characterized bidirectional promoters as a tool for gene co-expression.

What I learned

  • Plasmid construction: gel electrophoresis, PCR, and Gibson assembly
  • Cell culture, FACS, and fluorescence microscopy
  • MATLAB, Spotfire, and FCSalyzer
Lab website

Blue Origin Momentum Design Competition

misc ยท Jan 2024 ยท 1st place

Designed an experiment to gain insight into orientation perception in microgravity and presented to a panel of Blue Origin staff, winning first place.

What I learned

  • HTML, CSS, and JavaScript
  • Risk assessment, safety protocols, and budget preparation
  • Project management, public speaking, and teamwork
Competition website

HackMIT Catmosphere

misc ยท Sept 2023 ยท Top Beginner Hack

Built in Unity and coded in C#, this game challenges players to guide a cat through the layers of the atmosphere using keyboard navigation. Won the Top Beginner Hack prize.

What I learned

  • C# and Unity development in one weekend
  • HTML, CSS, and JavaScript for front-end polish
  • Teamwork, game design, and hackathon workflows
Competition website View on Devpost
Poster: Biomechanical Properties of the Porcine Tricuspid Valve Remained Unchanged Over Time

Rouzbeh Amini Lab: Tricuspid Valve Mechanics

research ยท Jun โ€“ Aug 2022 ยท published in JBE

Researched the mechanical properties of the tricuspid valve in porcine hearts through the Young Scholars Program at Northeastern University. Used biaxial mechanical testing and stress-strain plots to characterize changes in stiffness over time. Resulted in a publication in the Journal of Biomechanical Engineering in May 2023.

What I learned

  • Porcine heart dissection
  • Biaxial mechanical testing, sterile technique, and suturing
  • MATLAB for biomechanics data analysis
View paper View poster