David Graff Email & Phone Number
@mit.edu
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Who is David Graff? Overview
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David Graff is listed as Senior Machine Learning Scientist at Prescient Design, a 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.
Email format at Prescient Design
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AeroLeads found 1 current-domain work email signal for David Graff. Compare company email patterns before reaching out.
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.
David Graff's current company
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David Graff work experience
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Scientist Ii, Ml Research
Postdoctoral Associate
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 score, ADME properties, etc.)
Graduate Research Assistant
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 surrogate ML model inference by 60-80% while retaining optimization performance- Lead developer of Chemprop, a Python package for machine learning using directed-message passing neural networks. Rewrote the entire codebase from the ground up as Chemprop2, increasing the speed by 40% while reducing the footprint by 50%- Refined roughness index to enable quantitative comparison of QSPR surface roughness across multiple representations (ROGI-XD). Utilized ROGI-XD to better understand the performance of unsupervised chemical representations from LLMs, VAEs, and pretrained GNNs, in various QSPR benchmark tasks.- Collaborated with experimentalists to utilize MolPAL in the identification of novel antimicrobial compounds
Non-Residential Tutor
Graduate Research Assistant
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 metal nitrides
Machine Learning Research Intern
- 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 binding free energies directly from output docking pose through multimodal training using the Boltzmann-averaged trajectory and calculated RBFE
Subject Tutor
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
Residential College Adviser
Undergraduate Research Assistant
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.
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
Bcmp Summer Scholar
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. During this time, students function as full members of their respective labs, attending lab meetings and other functions, and ultimately conclude with a written manuscript of their research project. This research then culminates with an oral presentation.
Colleagues at Prescient Design
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Briana Paule
Colleague at Prescient DesignSouth San Francisco, California, United States
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Maureen Cawley
Colleague at Prescient DesignSan Francisco Bay Area, United States
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Michael Sachs, Ph.D
Colleague at Prescient DesignSan Francisco, California, United States
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Michael Lane
Colleague at Prescient DesignOakley, California, United States
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Dragos Dasoveanu
Colleague at Prescient DesignSan Francisco, California, United States
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Meng H.
Colleague at Prescient DesignSan Francisco Bay Area, United States
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Veronica Mccright
Colleague at Prescient DesignSan Ramon, California, United States
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Nina Bokhoor
Colleague at Prescient DesignSan Diego County, California, United States
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Serap M.
Colleague at Prescient DesignIstanbul, Türkiye, Turkey
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Renee Losoya
Colleague at Prescient DesignVacaville, California, United States
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David Graff education
Doctor Of Philosophy - Phd, Theoretical Chemistry
B.A. With High Honors, Chemistry
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 Briana Paule, Maureen Cawley, Michael Sachs, Ph.D, Michael Lane, and Dragos Dasoveanu.
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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