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Registration: 09.11.2023

Parker Cote

Specialization: Bioinformatics
Experienced bioinformatician with expertise in genomics, computer science, and data analysis. Proficient in developing computational methods to address complex biological questions. Seeking opportunities to grow and apply my skills in a dynamic research environment.
Experienced bioinformatician with expertise in genomics, computer science, and data analysis. Proficient in developing computational methods to address complex biological questions. Seeking opportunities to grow and apply my skills in a dynamic research environment.

Portfolio

Li Lab at the Koch Institute for Intergrative Cancer Research at MIT

● Utilized single-cell RNA-seq to study the lifetime dynamics of hematopoiesis in humans. ● Analyzing a multiomic single-cell atlas of mouse hematopoietic stem and progenitor cells. ● Mentoring undergraduate researchers and aiding in their computational biology projects. ● Speaking about my research at MIT community and single cell biology conferences.

Pevzner Lab / University of California

● Rewriting problem statements, test cases, and code base for the quintessential bioinformatics textbook, Bioinformatics Algorithms: An Active Learning Approach.

Abterra Biosciences

● Implemented an FFT-based approach to improve mass spectra interpretation for Valens. ● Developed in Java while utilizing Python to visualize and present performance metrics.

Skills

Python
C++
R
Java
SQL
Bash
Unix
AWS
Git
Slurm
HPC
Single-cell Multiomics
CUT&RUN
ChIP-seq
Proteomics

Work experience

Bioinformatician
since 10.2021 - Till the present day |Li Lab at the Koch Institute for Intergrative Cancer Research at MIT
R, Python
● Utilized single-cell RNA-seq to study the lifetime dynamics of hematopoiesis in humans. ● Analyzing a multiomic single-cell atlas of mouse hematopoietic stem and progenitor cells. ● Mentoring undergraduate researchers and aiding in their computational biology projects. ● Speaking about my research at MIT community and single cell biology conferences.
Software Development
06.2021 - 09.2021 |Abterra Biosciences
.
● Implemented an FFT-based approach to improve mass spectra interpretation for Valens. ● Developed in Java while utilizing Python to visualize and present performance metrics.
Editor
since 03.2021 - Till the present day |Pevzner Lab / University of California
.
● Rewriting problem statements, test cases, and code base for the quintessential bioinformatics textbook, Bioinformatics Algorithms: An Active Learning Approach.
Research Assistant
01.2016 - 10.2016 |Sacco Lab / Sanford Burnham Medical Discovery Institute
.
● Studied muscle stem cells in severe mouse models of Duchenne Muscular Dystrophy. ● Communicated and defended my work before a panel of grad students and postdocs.

Educational background

Bioinformatics
2017 - 2021
University of California

Languages

EnglishNative