I graduated from Concordia college with broad research interests in the field of Neuroscience. I’m an Associate Sequencing Scientist at an antibody discovery company, focusing on repertoire sequencing and identifying promising therapeutic targets. This blog showcases my past and current projects.
I firmly believe in the power of collaboration. If you see an opportunity for us to work together or need any support, please feel free to reach out.
Interests
- Bioinformatics
- ML using PyTorch
- Data modeling and visualization using Python and R
Education
B.A. in Neuroscience | Minor in Data analytics and Psychology, 2022
Concordia College
Skills
R
Genomic Data Science
ML & Data Vizualization
Experience
Associate Scientist II, Sequencing
Genovac
Prepare and analyze antibody repertoire sequences using NGS technologies
QA Specialist 2
Aldevron
Reviewed quality systems, supervising production documentation and SOPs
IT support student manager
Concordia College
Oversaw and guided IT support technicians in resolving technical issue
Research Consultant
Harvard Medical School, Beth Israel Deaconess Medical Center
Analyzed and implemented a RNA sequencing analysis pipeline.
Research Student
Harvard Medical School, Beth Israel Deaconess Medical Center
Ran different experiments on NK cells to support research goals
Undergraduate Student Researcher
Concordia College
Supported research goals by conducting experiments on Danio rerio
Certificates
Genomic Data Science Specialization by John’s Hopkins University
Data Analytics Specialization by Google
Projects
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Experiment summary of my undergraduate research internship at Concordia college.
A project demonstrating and comparing the predictive abilities of different ML models in associating different measures to heart disease
Experiment summary of my undergraduate research internship at Concordia college.
Contact
Feel free to contact me via email or LinkedIn.