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Max Shen Email & Phone Number

Principal Research Scientist, Machine Learning at Genentech
Location: Cambridge, Massachusetts, United States 11 work roles 2 schools
1 work email found @gene.com 1 phone found area 562 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email m****@gene.com
Direct phone (562) ***-****
LinkedIn Profile matched
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Current company
Role
Principal Research Scientist, Machine Learning
Location
Cambridge, Massachusetts, United States
Company size

Who is Max Shen? Overview

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Quick answer

Max Shen is listed as Principal Research Scientist, Machine Learning at Genentech, a with 20397 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at gene.com, phone signal with area code 562, and a matched LinkedIn profile for Max Shen.

Max Shen previously worked as Principal Scientist & Group Lead, Foundational Machine Learning Research at Genentech and Doctoral Researcher at Massachusetts Institute Of Technology. Max Shen holds Ph.D., Computational & Systems Biology from Massachusetts Institute Of Technology.

Company email context

Email format at Genentech

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{first}.{last}@gene.com
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AeroLeads found 1 current-domain work email signal for Max Shen. Compare company email patterns before reaching out.

Profile bio

About Max Shen

I am a research scientist working on fundamental machine learning motivated by science and biology. Forbes 30 under 30 Science.

Listed skills include Research, Bioinformatics, Python, Machine Learning, and 10 others.

Current workplace

Max Shen's current company

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Genentech
Genentech
Principal Research Scientist, Machine Learning
south san francisco, california, united states
Website
Employees
20397
AeroLeads page
11 roles

Max Shen work experience

A career timeline built from the work history available for this profile.

Principal Research Scientist, Machine Learning

Cambridge, Ma, Us

Principal Scientist & Group Lead, Foundational Machine Learning Research

South San Francisco, California, United States

I lead a small research group focusing on fundamental machine learning research motivated by science and biology.

Doctoral Researcher

First-author papers in Nature, Cell, invited talk at NeurIPS 2020 Learning Meaningful Representations of Life workshop. Taught multiple grad level IAP courses on machine learning.

Sep 2015 - May 2021

Educational Content Contributor

Design and implement bioinformatics programming assignments onto a live website with randomized input generation and scoring. Advise on content, teaching methods, and proofread bioinformatics textbook chapters aimed at undergraduates.

Jun 2014 - Aug 2015

Bioinformatics Research Assistant

PI: Pavel Pevzner, Ronald R. Taylor Professor of Computer ScienceAnalyze complex data and interpret statistics to contribute algorithmic ideas and direction in open-ended research. Implement advanced algorithms and data structures. Visualize graphs in GraphViz and statistics and distributions in Python.

Mar 2014 - Aug 2015

Software Engineering Intern

La Jolla, California

Instrumentation Design

Sep 2013 - Mar 2014

Teaching Assistant And Tutor

Ucsd Computer Science & Engineering Department

Ucsd

Tutor for CSE 12. Assisted student's understanding in basic data structures, C and C++ programming, and object oriented design.

Sep 2013 - Dec 2013

Software Engineering Intern

Gangnam-Gu, Seoul, Korea

Implementation of new optimization algorithms for machine learning, applied to mobile phone person-specific voice recognition.

Jun 2013 - Sep 2013

Research Assistant

Ucsd School Of Medicine, Radiology Imaging Laboratory

Design, conduct and analyze research projects using magnetoencephelography (MEG), magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). Design and program brain stimuli tests in Presentation. Assist with operating MEG in clinical and research applications. Analyze raw structural and functional brain data.

Nov 2011 - Jun 2013

Teaching Assistant And Tutor

Ucsd Computer Science & Engineering Department

Mentored students in an introductory computer science class (CSE 3) in the Alice programming language. Working with other teaching assistants and the professor, taught basic programming skills and concepts.

Jan 2012 - Mar 2012
Team & coworkers

Colleagues at Genentech

Other employees you can reach at gene.com. View company contacts for 20397 employees →

2 education records

Max Shen education

FAQ

Frequently asked questions about Max Shen

Quick answers generated from the profile data available on this page.

What company does Max Shen work for?

Max Shen works for Genentech.

What is Max Shen's role at Genentech?

Max Shen is listed as Principal Research Scientist, Machine Learning at Genentech.

What is Max Shen's email address?

AeroLeads has found 1 work email signal at @gene.com for Max Shen at Genentech.

What is Max Shen's phone number?

AeroLeads has found 1 phone signal(s) with area code 562 for Max Shen at Genentech.

Where is Max Shen based?

Max Shen is based in Cambridge, Massachusetts, United States while working with Genentech.

What companies has Max Shen worked for?

Max Shen has worked for Genentech, Massachusetts Institute Of Technology, Human Longevity, Inc., Rosalind, and Ucsd Computer Science & Engineering Department.

Who are Max Shen's colleagues at Genentech?

Max Shen's colleagues at Genentech include Cynthia Hu, Aaron Shebest, Anna Phillips, Briana Paule, and Vulnavia Burginjackson.

How can I contact Max Shen?

You can use AeroLeads to view verified contact signals for Max Shen at Genentech, including work email, phone, and LinkedIn data when available.

What schools did Max Shen attend?

Max Shen holds Ph.D., Computational & Systems Biology from Massachusetts Institute Of Technology.

What skills is Max Shen known for?

Max Shen is listed with skills including Research, Bioinformatics, Python, Machine Learning, Algorithms, C++, Computer Science, and C.

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