Josephine Lee

Full stack developer

Software Engineering

Current: Software Engineer at the Broad Institute

Building the Cancer Dependency Map Portal and other Flask-React webapps to centralize, analyze, and visualize data. Part of the Cancer Data Science team.

Past experience and projects

Appistry, Inc.

Software Engineer Intern at Appistry, making next-generation sequencing analysis accessible to clinicians

Built and consumed REST APIs on a Django-Angular stack

Project Osler

An open-source electronic medical records app for a free clinic run by the Washington University in St. Louis School of Medicine

Django-powered, test-driven goodness

Web Development

A D3 experiment, and miscellaneous school and hackathon projects

Played with various front end frameworks, back end frameworks, and databases

ArchHacks 2016

Helped to organize ArchHacks, a hackthon at Washington University in St. Louis

Python scripting to process applications and plan bus routes, and data visualization

Algorithms and Data Structures

Implemented a divide-and-conquer algorithm, a hashtable, a skip list and Dijkstra's algorithm on a binary heap priority queue

Analyzed various sorts, searchers, and other algorithms and data structures. Lorem ipsum big-O!

Various Games

Built a suite of C++ games played using the terminal

Learnt C++ inheritance, function overloading, dynamic allocation, copy control, containers, algorithms

Data Science and Computational Biology

Data Science as a Software Engineer
Broad Institute, Cancer Data Science group (Jan 2017 - current)
Built pipelines, ran scripts, and manipulated tables and matrices in R and python
Big Data Processing
CSCI E-88 Principles of Big Data Processing (Sep - Dec 2019)
Worked with various frameworks and strategies for processing large amounts of data, understanding their different strengths, weaknesses, and compromises. Learnt to weigh the nature of the data and requirements of the project to select appropriate technologies.
Computational Genomics Research
Bio434W Research Explorations in Genomics (Jan - May 2016)
Finished and annotated regions of the Drosophila ficusphila genome using next-gen sequencing data, gene predictors and existing experimental data

Education

Bachelor of Arts,
Washington Universtiy in St. Louis
GPA 3.96, summa cum laude
  • Algorithms and Data Structures (CSE241)
  • Cloud Computing with Big Data Applications (CSE427)
  • Introduction to Artificial Intelligence (CSE511)
  • Genomics (Bio434W)
  • Biochemistry (Bio4810)
  • Plant Biology and Genetic Engineering (Bio3041)