Brady Darby
Student

Contact Info

Education

  • 2023 - 2024 (Expected)

    MEng in Computer Science & Molecular Biology

    Massachusetts Institute of Technology

  • 2019 - 2023

    Bachelor's in Computer Science & Molecular Biology; Minor in Mathematics

    Massachusetts Institute of Technology

  • 2015-2019

    Diploma

    McQuaid Jesuit High School

Language Proficiencies

  • English
  • French
  • Spanish

Profile

I am a current graduate student at MIT, where I study computer science, biology, and math. My interdisciplinary background has prepared me for a variety of industries, including biotech, finance, and aerospace. In any position I may find myself in, I am able to implement practical solutions using my technical knowledge. Currently, my specialties are data analysis and automation.

I will be completing my graduate program in May 2024. I am interested in working while pursuing this degree, so feel free to reach out if you have a need for someone with my skillset.

Experience

May 22 - Dec 23
NASA Jet Propulsion Laboratory

Robotics Intern

- Developed tactical tool to analyze heater compensation critical to rover health.
- Improved automation of both tactical and strategic data pipelines in Python.
- Designed computer vision algorithms for detecting corners, edges, and surfaces of drill bits and teeth onboard rover.
- Implemented data pipeline to assess levels of mechanical wear on rover drills and in turn inform tactical and strategic mission operations.

Feb 22 - Jun 22
55 Institutional Partners, LLC

Quantitative Research Intern

- Researched strategies for automated portfolio manager and tax-optimized investment engine.
- Utilized Python-based API to gather relevant data for team research.
- Improved communication between Python-based API and R-based analytical tools using reticulate.
- Designed data visualization tool in R shiny to plot security price and risk figures for firmwide analysis.

Jun 21 - Oct 21
Massachusetts General Hospital - Ting Laboratory

Student Researcher

- Generated differential expressions to understand relative gene activations of different cancers and cells.
- Deconvolved tissue samples into proportions of 5 different cell types.
- Automated and optimized pipeline for analysis of 10 sets of bulk RNA sequence data using R.
- Informed future direction of lab research using my analysis.

May 20 - Oct 20
M.I.T. Computer Science and Artificial Intelligence Laboratory

Student Researcher

- Developed both a baseline and refined mechanistic model for plant growth.
- Implemented models in Python using Git for source control.
- Compared mechanistic model with industry-leading growth models to earn additional project funding.

Technical Proficiencies

Python

R

C++

React

HTML