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Регистрация: 09.11.2023

Parker Cote

IT
middle
Специализация: Bioinformatics

Портфолио

Analysis of Single Cell Transcriptomic Atlas of Hematopoiesis Over the Human Lifespan

I was given raw scRNA-seq data of over 58,000 cells across 26 samples from human donors from 10wks gestational age to 77 years old. I was in charge of first performing quality control, alignment, and quantification of the raw sequencing data to generate a count matrix before using this count matrix to investigate various questions we had about how hematopoiesis in humans changes over time. Lastly, I was heavily involved in the writing of the paper and the revision process.

Bioinformatics Algorithms Online Course

I was in charge of rewriting problem statements, test cases, and the code base for the interactive online version of the quintessential bioinformatics textbook, Bioinformatics Algorithms: An Interactive Approach by Pavel Pevzner and Philip Compeau.

Abterra Biosciences Valens Pipeline

I worked to improve a pipeline for de novo antibody sequencing. I was in charge of thinking of clever algorithms to interpret mass spectrometer data to return amino acid sequences of the analyzed antibody, implementing them within the broader Valens pipeline, benchmarking the performance of each solution, presenting on the results, and making iterative improvements on the best solutions.

Скиллы

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

Опыт работы

Bioinformatician
с 10.2021 - По настоящий момент |Li Lab at the Koch Institute for Intergrative Cancer Research at MIT
R, Python
In my role in the Li Lab, I utilized single-cell RNA-seq to study the lifetime dynamics of hematopoiesis in humans, analyzed a multiomic single-cell atlas of mouse hematopoietic stem and progenitor cells, mentored undergraduate researchers and aiding in their computational biology projects, spoke about my research at several 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
с 03.2021 - По настоящий момент |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.

Образование

Bioinformatics
2017 - 2021
University of California, San Diego

Языки

АнглийскийРодной