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Zachary Barry Email & Phone Number
Senior Machine Learning Engineer
at
Genentech USA
1 work email found
@nibr.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Machine Learning Engineer
Location
Cambridge, Massachusetts, United States
Who is Zachary Barry? Overview
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Quick answer
Zachary Barry is listed as Senior Machine Learning Engineer at Genentech USA, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at nibr.com and a matched LinkedIn profile for Zachary Barry.
Zachary Barry previously worked as Senior Machine Learning Scientist at Spring Discovery and Investigator II at Novartis Institutes For Biomedical Research (Nibr). Zachary Barry holds Doctor Of Philosophy (Ph.D.), Biological Engineering from Massachusetts Institute Of Technology.
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Email format at Genentech USA
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{first}.{last}@nibr.com
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Profile bio
About Zachary Barry
As a bioengineer and data scientist, I lead the development of ML/AI-based computational pipelines for drug discovery with a focus on image-based analyses.- Transformer-based image embedding approaches for single-cell phenotyping, MoA elucidation, and beyond.- Engineering data analysis solutions with machine / deep learning to production.- ML-based cell detection and segmentation.- Data-driven computational modeling in biophysics & systems biology
Listed skills include Systems Biology, Fluorescence Microscopy, Deep Learning, Image Analysis, and 9 others.
Current workplace
Zachary Barry's current company
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7 roles · 18 years
Zachary Barry work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Scientist
At Spring Science, I led the ML / AI arm of our external partnerships with pharmaceutical companies and biotechs. I leveraged my bioimage & biodata analysis expertise towards such ends as elucidating lead compound mechanism of action and deriving functional readouts from fluorescence and brightfield microscopy based on both ML and image-processing approaches.I developed our in-house AI-based cell detection infrastructure from conception to production and collaborated closely with our internal science team to design and execute on our bio+ML endeavors.- Transformer-based image embeddings for single-cell phenotyping and bioimage analysis.- Tailored image processing for extracting targeted features from fluorescence data.- AI/ML-based cell segmentation and detection.- Paired analysis of secreted protein data.
Oct 2021 - Dec 2024
Investigator Ii
- Data science / quantitative methods development for accelerating drug discovery in neuroscience, respiratory, and other domains.- Highly-interactive data visualization techniques for communicating scientific and technical results to collaborators of diverse backgrounds.- Neural network and other machine learning-based approaches to microscopy and (video) image analysis.- Building elastically-scalable analysis pipelines with the PyData ecosystem.Example applications:- Deep learning-based histology image segmentation - In vivo calcium imaging analysis- Behavioral trackingMicroscopy and Biophotonics GroupAnalytical Sciences and Imaging
Apr 2019 - Oct 2021
Investigator I
Microscopy and Biophotonics Group - Analytical Sciences and Imaging- Roles: bioengineer, data scientist, image informaticist- Informatics approaches: machine learning, deep learning, advanced data visualization frameworks- Data sources: live-cell microscopy, super-resolution imaging, in vivo imaging- Key disease areas: neuroscience, exploratory immuno-oncology
Nov 2017 - Mar 2019
Ph.D. Candidate
Biological Engineering Ph.D. program. Focus on live-cell imaging and computational image analysis.
Sep 2012 - Mar 2017
Intern - Microscopy And Biophotonics (Asi)
- Developed software platform for single-cell image analysis of T cell/target cell interactions to improve readouts for immunotherapy projects.- Delivered quantitative readouts of cell migration, interaction lifetimes, and target cell killing.- Collaboratively improved experimental design of microwell assays to facilitate robust, rigorous analysis.
Sep 2016 - Dec 2016
Research Assistant
2009 - 2012
~3 yrs
2 education records
Zachary Barry education
Doctor Of Philosophy (Ph.D.), Biological Engineering
Massachusetts Institute Of Technology
Bachelor Of Science (B.S.), Biomedical Engineering
Georgia Institute Of Technology
FAQ
Frequently asked questions about Zachary Barry
Quick answers generated from the profile data available on this page.
What company does Zachary Barry work for?
Zachary Barry works for Genentech USA.
What is Zachary Barry's role at Genentech USA?
Zachary Barry is listed as Senior Machine Learning Engineer at Genentech USA.
What is Zachary Barry's email address?
AeroLeads has found 1 work email signal at @nibr.com for Zachary Barry at Genentech USA.
Where is Zachary Barry based?
Zachary Barry is based in Cambridge, Massachusetts, United States while working with Genentech USA.
What companies has Zachary Barry worked for?
Zachary Barry has worked for Genentech Usa, Spring Discovery, Novartis Institutes For Biomedical Research (Nibr), Massachusetts Institute Of Technology, and Georgia Institute Of Technology.
How can I contact Zachary Barry?
You can use AeroLeads to view verified contact signals for Zachary Barry at Genentech USA, including work email, phone, and LinkedIn data when available.
What schools did Zachary Barry attend?
Zachary Barry holds Doctor Of Philosophy (Ph.D.), Biological Engineering from Massachusetts Institute Of Technology.
What skills is Zachary Barry known for?
Zachary Barry is listed with skills including Systems Biology, Fluorescence Microscopy, Deep Learning, Image Analysis, Bacterial Cell Biology, Computational Biology, Tirf Imaging, and Bayesian Inference.
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