Jeerthi Kannan

Experience

• 

  University of Rochester Medical Center

  Jun 2018 - May 2020

  Undergraduate Research Assistant

  Department of Dermatology • Upgraded digital image processing algorithms in MATLAB• Utilized neural network algorithm for digital image processing with Python and Linux Cluster• Presented algorithms and results to lab group and receive feedback• Incorporated cell-plucking apparatus into data analysis protocol• Collaborated with other students, supervisor, and principal investigator

• 

  University of Rochester

  Aug 2018 - Dec 2018

  Biomedical Engineering Teaching Assistant

  • Conducted lab sessions where students complete problems that help them learn how to code in MATLAB• Advised students on the best approaches to modify errors in their programs• Critiqued students’ final projects and presentations

• 

  University of Rochester

  Sept 2019 - May 2020

  • Subjects: Data Science, Computer Science, Genetics, and Public Health• Coached students through leading questions about practice problems or recorded lectures • Facilitated workshop sessions where students complete technical and conceptual Python problems• Critiqued students' quizzes and provided feedback

  • Student Tutor

    Oct 2018 - May 2020

  • Computer Science Teaching Assistant

    Sept 2019 - Dec 2019
• 

  National Heart, Lung, and Blood Institute

  Jul 2020 - Jul 2021

  Post-Baccalaureate Research Fellow

  - Developed a single cell RNA-seq pipeline for analysis of genomic data from patients and healthy donors- Utilized single cell DNA-seq methods for identification of low-level somatic mutations- Created graphical displays of high density data

• 

  Cleveland Clinic

  Jul 2022 - Jul 2023

  Bioinformatics Technologist

  Lerner Research Institute Department of Inflammation and Immunity- Parse sequencing data and perform differential expression analyses- Create graphical visualizations of gene expression data to compare experimental groups and time series using R

• 

  Boston Children's Hospital

  Jul 2023 - now

  Research Assistant

  Department of Nephrology- Create new pipelines for genomic analyses using R, Python, and Bash- Collaborate with other researchers on high throughput data collection processes- Teach complex experimental and technical concepts to an audience with a variety of professional backgrounds