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Pascal Sturmfels Email & Phone Number

Senior Deep Learning Scientist at Vilya
Location: United States, United States, United States 13 work roles 3 schools
2 work emails found @umich.edu 1 phone found area 734 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 1 phone

Work email p****@umich.edu
Direct phone (734) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Senior Deep Learning Scientist
Location
United States, United States, United States
Company size

Who is Pascal Sturmfels? Overview

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Quick answer

Pascal Sturmfels is listed as Senior Deep Learning Scientist at Vilya, a company with 55 employees, based in United States, United States, United States. AeroLeads shows a work email signal at umich.edu, phone signal with area code 734, and a matched LinkedIn profile for Pascal Sturmfels.

Pascal Sturmfels previously worked as Deep Learning Scientist at Vilya and PHD Student at University Of Washington. Pascal Sturmfels holds Doctor Of Philosophy - Phd, Computer Science from University Of Washington.

Company email context

Email format at Vilya

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{first}.{last}@umich.edu
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AeroLeads found 2 current-domain work email signals for Pascal Sturmfels. Compare company email patterns before reaching out.

Profile bio

About Pascal Sturmfels

I am a research scientist interested in the intersection of deep learning and structural biology, particularly applications in drug discovery. I completed my PhD in 2024 at the Institute for Protein Design, and now work as a research scientist at Vilya Therapeutics.

Listed skills include Matlab, Research, C++, R, and 14 others.

Current workplace

Pascal Sturmfels's current company

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Vilya
Vilya
Senior Deep Learning Scientist
United States
Website
Employees
55
AeroLeads page
13 roles

Pascal Sturmfels work experience

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

Senior Deep Learning Scientist

United States

Deep Learning Scientist

Current

South San Francisco, CA, US

Sep 2024 - Present

Phd Student

Seattle, WA, US

My PhD work focused on interpretable machine learning methods and the intersection of deep learning methods and protein structural biology. I was particularly interested in applications of deep learning to drug discovery, and designing methods for docking and virtual screening.

Sep 2018 - Jun 2024

Research Intern

Menlo Park, CA, US

I worked on a project training large language models to do protein sequence diversification. I designed a pre-training task that allowed language models to build diversification libraries of both natural and de novo designed proteins down to < 40% sequence identity, which is useful to escape local optima during iterative re-design.

Jun 2022 - Sep 2022

Research Intern

San Francisco, California, US

I did a research internship at Salesforce Research studying pre-training tasks for protein language models. We developed a novel pre-training task called "profile prediction" that trains embeddings based on protein families in pfam.

Jun 2020 - Sep 2020

Software Engineering Intern

Redmond, Washington, US

I worked on the Core Services Engineering and operations team, and helped maintain their SQL query pipeline for internal financial data.

May 2017 - Jul 2017

Mobile Application Developer

Ann Arbor, Michigan, US

I worked on a project developing a peer-to-peer communication mobile app for the iPhone.

Jan 2016 - Dec 2016

Algorithms Researcher

College Park, MD, US

I researched approximations for the online open concurrent shop problem, an NP-hard problem in machine scheduling, and helped lower the known approximation bounds for that problem.

Jun 2016 - Aug 2016

Computational Biology Researcher

Berkeley, CA, US

I worked on developing data visualization tools for rna-sequencing data and developing a website to host visualizations of publicly available data.

Jul 2015 - May 2016

Lab Assistant

Ann Arbor, Michigan, US

I worked on a project to miniaturize gas chromatoprahy systems, particularly in the internal circuit layout.

Jan 2015 - Apr 2015

Electrical Engineering Intern

Oakland, CA, US

Mostly just vacuumed the floors and brought other people coffee. My first real job!

Jun 2012 - Aug 2012
3 education records

Pascal Sturmfels education

Doctor Of Philosophy - Phd, Computer Science

University Of Washington

Engineer’S Degree, Mathematics And Computer Science

University Of Michigan

High School

Lick-Wilmerding High School
FAQ

Frequently asked questions about Pascal Sturmfels

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

What company does Pascal Sturmfels work for?

Pascal Sturmfels works for Vilya.

What is Pascal Sturmfels's role at Vilya?

Pascal Sturmfels is listed as Senior Deep Learning Scientist at Vilya.

What is Pascal Sturmfels's email address?

AeroLeads has found 2 work email signals at @umich.edu for Pascal Sturmfels at Vilya.

What is Pascal Sturmfels's phone number?

AeroLeads has found 1 phone signal(s) with area code 734 for Pascal Sturmfels at Vilya.

Where is Pascal Sturmfels based?

Pascal Sturmfels is based in United States, United States, United States while working with Vilya.

What companies has Pascal Sturmfels worked for?

Pascal Sturmfels has worked for Vilya, University Of Washington, Meta, Salesforce, and University Of Michigan College Of Engineering.

How can I contact Pascal Sturmfels?

You can use AeroLeads to view verified contact signals for Pascal Sturmfels at Vilya, including work email, phone, and LinkedIn data when available.

What schools did Pascal Sturmfels attend?

Pascal Sturmfels holds Doctor Of Philosophy - Phd, Computer Science from University Of Washington.

What skills is Pascal Sturmfels known for?

Pascal Sturmfels is listed with skills including Matlab, Research, C++, R, Public Speaking, Computer Science, Mathematics, and Statistics.

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