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David Graff Email & Phone Number

Senior Machine Learning Scientist at Prescient Design
Location: Brooklyn, New York, United States 12 work roles 2 schools
1 work email found @mit.edu LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

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Work email d****@mit.edu
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Current company
Role
Senior Machine Learning Scientist
Location
Brooklyn, New York, United States
Company size

Who is David Graff? Overview

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Quick answer

David Graff is listed as Senior Machine Learning Scientist at Prescient Design, a company with 18231 employees, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at mit.edu and a matched LinkedIn profile for David Graff.

David Graff previously worked as Scientist II, ML Research at Atomwise and Postdoctoral Associate at Massachusetts Institute Of Technology. David Graff holds Doctor Of Philosophy - Phd, Theoretical Chemistry from Harvard University.

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{first_initial}{last}@mit.edu
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Profile bio

About David Graff

I work on developing methods and tools for computational drug design using machine learning and optimization. I was a synthetic organic chemist in a past life, and I bring that context into my current work on using computational techniques to accelerate drug discovery. Avid distance runner and cyclist- I'll add swimming to the mix when my joints give out. If it goes fast or requires an unreasonable amount of endurance, I'm probably a fan.

Current workplace

David Graff's current company

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Prescient Design
Prescient Design
Senior Machine Learning Scientist
New York, United States
Website
Employees
18231
AeroLeads page
12 roles

David Graff work experience

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

Scientist Ii, Ml Research

San Francisco, California, US

Sep 2023 - Nov 2024

Postdoctoral Associate

Cambridge, MA, US

Advisor: Connor Coley (MIT ChemE)- Designing novel algorithms to enable the application of continuous optimization techniques to discrete, non-enumerated spaces (e.g., virtual chemical libraries)- Researching model-free optimization techniques for efficient traversal and search through virtual libraries based on a given property objective (e.g., docking.

Jun 2023 - Sep 2023

Graduate Research Assistant

Cambridge, Massachusetts, US

Advisors: Connor Coley (MIT ChemE), Eugene Shakhnovich (Harvard CCB)- Developed software (MolPAL) to accelerate ultra-large (> 100M) molecular docking screens using Bayesian optimization, machine learning, and cheminformatics- Established Design Space Pruning (DSP), an algorithmic extension to active learning that can reduce overhead costs associated with.

Jan 2020 - May 2023

Non-Residential Tutor

Cambridge, Massachusetts, US

Aug 2019 - Aug 2020

Graduate Research Assistant

Cambridge, Massachusetts, US

Joint graduate student in both the Betley and Jacobsen groups in the Department of Chemistry and Chemical Biology at Harvard University. Aided in the development of a reaction for enantioselective C-H activation via nickel catalysis and studied the ability of hydrogen bond donor catalysts to affect the reactivity of both terminal metal oxos and terminal.

Dec 2018 - Aug 2019

Machine Learning Research Intern

New York, New York, US

- Integrated active learning software (MolPAL) into drug discovery workflows to accelerate the screening of large compound sets (10-100M) using computational docking and machine learning- investigated the extension of docking-based active learning workflows to molecular dynamics-based RBFE virtual screens- designed ML models to predict compound relative.

Jun 2022 - Aug 2022

Subject Tutor

New York, New York, US

At Private Prep, I work directly with students to conduct remote tutoring sessions for introductory chemistry, AP chemistry, and AP Computer Science. My work ranges from directly teaching the subject matter to working on chemistry problem-solving skills to more general concepts of test-taking and test-preparation

Oct 2018 - May 2022

Undergraduate Research Assistant

Princeton, NJ, US

Undergraduate Research Assistant in the Knowles Research Group where I worked to develop a novel, photocatalytic method for olefin hydroamination that was published in a high-tier, academic chemistry journal. Further aided in the elaboration of this reaction into an enantioselective variant that was also published in a high-tier chemistry journal.

Feb 2017 - May 2018

Private Tutor

Private tutor for students of Princeton Tutoring. Conduct private tutoring sessions with students in varying subjects. Record progress and maintain client satisfaction through written recaps. Schedule sessions by reconciling both client and personal obligations

Nov 2014 - May 2017

Bcmp Summer Scholar

Boston, MA, US

The BCMP Summer Scholars Program is a summer research program through the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School. Students conduct independent research projects under the individual guidance of a faculty mentor and attend weekly seminars where various faculty in the BCMP present on their group's research..

Jun 2016 - Aug 2016
Team & coworkers

Colleagues at Prescient Design

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2 education records

David Graff education

Doctor Of Philosophy - Phd, Theoretical Chemistry

Harvard University

B.A. With High Honors, Chemistry

Princeton University
FAQ

Frequently asked questions about David Graff

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

What company does David Graff work for?

David Graff works for Prescient Design.

What is David Graff's role at Prescient Design?

David Graff is listed as Senior Machine Learning Scientist at Prescient Design.

What is David Graff's email address?

AeroLeads has found 1 work email signal at @mit.edu for David Graff at Prescient Design.

Where is David Graff based?

David Graff is based in Brooklyn, New York, United States while working with Prescient Design.

What companies has David Graff worked for?

David Graff has worked for Prescient Design, Atomwise, Massachusetts Institute Of Technology, Harvard University, and Roivant Sciences.

Who are David Graff's colleagues at Prescient Design?

David Graff's colleagues at Prescient Design include Miranda Brinkley, Vera Lee, Diane Henderson, Yishi L., and Kaitlyn Le.

How can I contact David Graff?

You can use AeroLeads to view verified contact signals for David Graff at Prescient Design, including work email, phone, and LinkedIn data when available.

What schools did David Graff attend?

David Graff holds Doctor Of Philosophy - Phd, Theoretical Chemistry from Harvard University.

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