Mahsa Yazdani
Computational Biology Co-op at Merck Research Lab, PhD Candidate at UB
- Role
- Computational Biology Co-op at Merck
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Mahsa Yazdani
Bioinformatics and spatial multiomics expert skilled in integrating and analyzing complex…
Experience
Computational Biology Co-op
May 2025 — Present · Cambridge, MA, US
Contributing to the analysis of CRISPR-based Optical Pooled Screening (OPS) data, with a focus on normalization strategies and batch effect correction.• Applying both supervised and unsupervised machine learning techniques to evaluate data quality, optimize feature selection, and identify biologically meaningful patterns.• Benchmarking multiple hit-calling methods to assess sensitivity, specificity, and reproducibility across experimental conditions.• Leveraging deep learning–based Cellpose segmentation model on a specific cell type characterized by heterogeneous, overlapping morphology to enhance single-cell resolution and improve downstream analysis.
Education
Shahid Beheshti University of Medical Sciences and Health Services
Bachelor's degree
2011 — 2015
The State University of New York at Buffalo
Doctor of Philosophy - PhD
2021 — 2025
University of Tehran
Master of Science (MS)
2015 — 2018
University of Missouri-Kansas City
Interdisciplinary Program
2019 — 2021
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