Alexander Zhigalin
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Alexander Zhigalin Email & Phone Number

ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold at D. E. Shaw Research
Location: United States 7 work roles 2 schools
1 work email found @merck.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Current company
Role
ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold
Location
United States
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Who is Alexander Zhigalin? Overview

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Quick answer

Alexander Zhigalin is listed as ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold at D. E. Shaw Research, a with 133 employees, based in United States. AeroLeads shows a work email signal at merck.com and a matched LinkedIn profile for Alexander Zhigalin.

Alexander Zhigalin previously worked as Machine Learning Research Engineer at D. E. Shaw Research and Undergraduate Researcher, The Matter Lab at University Of Toronto. Alexander Zhigalin holds Master Of Arts - Ma, Chemistry from Harvard University.

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{first}_{last}@merck.com
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Profile bio

About Alexander Zhigalin

Alexander Zhigalin is a ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold at D. E. Shaw Research. He is proficient in English.

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D. E. Shaw Research
D. E. Shaw Research
ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold
new york, united states
Employees
133
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7 roles

Alexander Zhigalin work experience

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Machine Learning Research Engineer

Current

New York, United States

Working on deep learning models for DNA-encoded libraries (DEL), ligand-protein binding, and pocket identification.

Jan 2023 - Present

Undergraduate Researcher, The Matter Lab

Toronto, Ontario, Canada

Conducted a literature review on using deep generative models and reinforcement learning to generate small molecule binders based on the protein 3D information. Developed an RL-based approach to molecular design, experimentally demonstrated its validity and scalability."Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning" - co-first authorship with Daniel Flam-Shepherd. Preprint: arxiv.org/abs/2202.00658.

Jun 2021 - Dec 2022

Research Intern

New York, United States

Constructed and optimized deep learning models for predicting the uncertainty in Free Energy Perturbations (FEP) from molecular structures to optimize the FEP simulation network building. Designed a method for breaking down the difficult morphing FEP simulations into easier ones through interpolation between small molecules using deep generative models. Experimented with various features and deep architectures (VAEs, GNNs, RNNs) to design an optimal model.

May 2022 - Aug 2022

Chemistry Intern

Merck

Kenilworth, New Jersey, United States

Participated in a novel Gram-negative antibiotic discovery and optimization project, analyzed the structure-activity relationship using medicinal chemistry software, and enumerated screening libraries. Docked virtual libraries and searched for new optimization directions. Took courses in medicinal chemistry and related topics. Attended seminars covering the drug development process and modern drug discovery approaches.

Jun 2020 - Aug 2020

Undergraduate Researcher, Myers Lab

Cambridge, Massachusetts

Took part in making novel antibody-drug conjugates for cancer therapy. Collaborated on synthesizing the warhead (trioxacarcin and its derivatives) and various linkers.

Oct 2019 - Mar 2020

Teaching Fellow For Chem S-20Ab (Intensive Organic Chemistry)

Cambridge, Ma

Led 1-hour daily sections for 17 undergraduates, graded exams every week, and facilitated office hours. Organized a weekly optional 5-hour retrosynthesis workshop to expose interested students to more advanced synthesis problems and spark their interest in organic chemistry. Presented and explained the total synthesis of strychnine to a group of students from the workshop.

Jun 2019 - Aug 2019

Undergraduate Researcher, Betley Lab

Cambridge, Ma

Synthesized hexanuclear iron clusters to study their electromagnetic properties. Synthesized the most electron-deficient ligand to determine the limits of cluster formation.

Jun 2019 - Aug 2019
Team & coworkers

Colleagues at D. E. Shaw Research

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2 education records

Alexander Zhigalin education

Master Of Arts - Ma, Chemistry

Concurrent Master's degree in Chemistry

Bachelor Of Arts - Ba, Chemistry And Computer Science

Joint Bachelor's degree in Chemistry and Computer Science with a secondary in Statistics

FAQ

Frequently asked questions about Alexander Zhigalin

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

What company does Alexander Zhigalin work for?

Alexander Zhigalin works for D. E. Shaw Research.

What is Alexander Zhigalin's role at D. E. Shaw Research?

Alexander Zhigalin is listed as ML Research Engineer at D. E. Shaw Research | Harvard Chem+CS A.B., Chem A.M. | IChO First Gold at D. E. Shaw Research.

What is Alexander Zhigalin's email address?

AeroLeads has found 1 work email signal at @merck.com for Alexander Zhigalin at D. E. Shaw Research.

Where is Alexander Zhigalin based?

Alexander Zhigalin is based in United States while working with D. E. Shaw Research.

What companies has Alexander Zhigalin worked for?

Alexander Zhigalin has worked for D. E. Shaw Research, University Of Toronto, Merck, Harvard University, and Harvard Summer School.

Who are Alexander Zhigalin's colleagues at D. E. Shaw Research?

Alexander Zhigalin's colleagues at D. E. Shaw Research include Paul Maragakis, Daniel Kozuch, Nishant Yadla, Chris Lee, and Vidhi Dua.

How can I contact Alexander Zhigalin?

You can use AeroLeads to view verified contact signals for Alexander Zhigalin at D. E. Shaw Research, including work email, phone, and LinkedIn data when available.

What schools did Alexander Zhigalin attend?

Alexander Zhigalin holds Master Of Arts - Ma, Chemistry from Harvard University.

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