Matthew Bernstein
Principal Machine Learning Scientist at Cellular Intelligence
- Role
- Principal Machine Learning Scientist at Cellular Intelligence
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Matthew Bernstein
I am a computational scientist excited by the challenge of transforming the world\'s vast and growing collections of high-dimensional genomics data into insights that drive progress in human health.Currently, I am Principal Machine Learning Scientist at Cellular Intelligence where I develop machine learning approaches for modeling cellular dynamics and deciphering the signaling patterns that control cellular differentiation in development.Prior to Cellular Intelligence, I was Staff Scientist, Machine Learning at Stellaromics where I developed computational and machine learning approaches for analyzing high-resolution, three-dimensional spatial transcriptomics data generated by Stellaromics’ novel spatial biology platform. I worked on core algorithms for converting raw, terabyte-scale bio-imaging data into spatial gene expression information.Prior to that, I was Principal Scientist at Immunitas Therapeutics where I built a computational platform for identifying novel drug targets in immuno-oncology using diverse single-cell RNA-seq and single-cell TCR-seq datasets. In addition, I designed computational approaches for identifying clinical biomarkers of drug efficacy emerging from the company\'s phase 1 clinical trial of IMT-009, a novel immune checkpoint inhibitor. My work identifying clinical biomarkers involved the integrated analysis of data from diverse assays including flow cytometry, NanoString nCounter, IHC, and multiplexed immunofluorescence.
Experience
Principal Machine Learning Scientist
Jun 2025 — Present · Boston, MA, US
Education
University of Wisconsin-Madison
Doctor of Philosophy (Ph.D.), Computer Sciences
2015 — 2019
University of Notre Dame
Bachelor of Science (BS), Computer Science
2009 — 2013
University of Wisconsin-Madison
Master of Science (MS), Computer Sciences
2013 — 2015
Skills
- Computer Science
- University Teaching
- Software Development
- Python
- Public Speaking
- Bioinformatics
- Computational Biology
- Machine Learning
- Algorithms
- Visual Arts
- Java
- Statistics
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