James Glazar
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James Glazar Email & Phone Number

Head of LLM Quantitative Strategy Team at Trexquant Investment LP
Location: Stamford, Connecticut, United States 13 work roles 5 schools
1 work email found @trexquant.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Work email j****@trexquant.com
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Current company
Role
Head of LLM Quantitative Strategy Team
Location
Stamford, Connecticut, United States
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Who is James Glazar? Overview

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Quick answer

James Glazar is listed as Head of LLM Quantitative Strategy Team at Trexquant Investment LP, a with 74 employees, based in Stamford, Connecticut, United States. AeroLeads shows a work email signal at trexquant.com and a matched LinkedIn profile for James Glazar.

James Glazar previously worked as Alpha Researcher at Trexquant Investment Lp and Doctoral Researcher at University Of Pennsylvania. James Glazar holds Doctor Of Philosophy - Phd, Materials Science, 3.59 from University Of Pennsylvania.

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{first}.{last}@trexquant.com
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Profile bio

About James Glazar

I am an alpha researcher at Trexquant, where I leverage LLMs to discover algorithmic trading strategies. 🤖📈Previously, I was a PhD candidate and National Defense Science & Engineering Graduate Fellow studying computational biophysics at Penn. 🧬As a volunteer tutor, I ❤️ to use coding to teach others about math and science.Check out my personal website for more info!jglazar.github.io

Current workplace

James Glazar's current company

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Trexquant Investment LP
Trexquant Investment Lp
Head of LLM Quantitative Strategy Team
stamford, connecticut, united states
Website
Employees
74
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13 roles

James Glazar work experience

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

Head Of Llm Quantitative Strategy Team

Current

Stamford, Connecticut, United States

Leading a team of engineers to create an AI quant researcher

Dec 2024 - Present

Alpha Researcher

Stamford, Connecticut, United States

Using LLMs to quantify new data and discover alphas

Aug 2024 - Dec 2024

Doctoral Researcher

Philadelphia, Pennsylvania, United States

Currently developing physics-based simulations to study chromatin conformations in human cells at high resolutions by incorporating experimental data from collaborators at Penn MedicineSo far, I've optimized my C++ simulation methodology to speed up performance over 10x by using cache-friendly data structures.Previously, I developed a Random Forest machine learning pipeline to identify outstanding materials from a materials database with just a few dozen entries, discovering a new class of materials with 2x better propertiesI also collaborated with an experimental group at Drexel University to investigate the electronic structure of novel 2D MXene alloys by performing density functional theory calculations to uncover trends in alloy conductivity and electron affinity

Jun 2019 - Aug 2024

Teaching Assistant

Philadelphia, Pennsylvania, United States

I helped teach 30 graduate students machine learning theory applied to physics and materials science. As part of the course, I put together a lecture on the Random Forest machine learning technique. Check it out at the link below!

Jan 2023 - May 2023

Crunchdao Member

CrunchDAO hosts quant finance competitions for data scientists around the world. I placed in the top 50/4407 by creating robust linear models to predict relative rankings of a basket of stocks. I used elastic net regularization with time-series-specific cross-validation techniques to tune my model parameters while preventing overfitting.Check out my article below for more details!

Jul 2023 - May 2024

Vp Of Investment Research

Philadelphia, Pennsylvania, United States

The Penn Biotech Group is a student-led club that helps small and large biotech companies grow. I participated in and won PBG's first Biotech Investment Research Stock Pitch Competition, earning a $900 prize. Check out the writeup linked below for more details!The following year, I joined the PBG E-Board as the VP of Investment Research. I organizing the 2nd Biotech Investment Research program involving over 50 participants.

Mar 2023 - May 2024

Participant In Worldquant International Quant Championship

Philadelphia, Pennsylvania, United States

I participated in the 2023 WorldQuant International Quant Championship. I developed 28 portfolio construction algorithms using price-volume, fundamental, and sentiment data, averaging a Sharpe ratio of 1.77. I placed 382/29,101 in the world (top 1.3%) and 20/1,191 (top 1.7%) in the USA to qualify for the 2nd round. I placed 315/2,920 in the world (top 11%) and 12/100 in the USA in the 2nd round.

Mar 2023 - Jul 2023

Tech Transfer Fellow

Philadelphia, Pennsylvania, United States

I parsed more than 3000 publications and patents in online databases to prepare 13 Invention Assessment reports on prior art in medicine, materials engineering, and machine learning with less than 1 week turnaround time per report. These reports were used to inform patentability assessments at the Penn Center for Innovation.Separately, I communicated the immense value of new Penn-developed intellectual property by writing 13 Marketing Assessments using common language to advertise technologies to potential partners and licensees at scientific research companies

Apr 2021 - May 2022

Teaching Assistant

Philadelphia, Pennsylvania, United States

I helped teach 15 graduate students the theory and practice of statistical physics, Monte Carlo methods, and molecular dynamics simulations during weekly recitations.Part of this work involved providing tailored one-on-one instruction with a few students, improving their fundamental physical and mathematical understanding, troubleshooting programmed simulations in Python and MATLAB, and analyzing, plotting, and interpreting results

Jun 2020 - Aug 2020

Student Tutor

Stony Brook, New York, United States

As a tutor, I quickly assessed student aptitude and tailored my instruction to efficiently teach basic physics concepts to over 100 students.During exam seasons, I led group study sessions in a dynamic, fast-paced collaborative space involving up to 10 tutors and students at a timeOver time, I built relationships with frequent tutoring center attendees by setting achievable goals, offering encouragement, and helping them develop more robust learning and study habitsI also completed the College Reading and Learning Association Level 1 training to refine my practical tutoring and science communication skills, including question-asking strategies, goal setting and planning, and time management

Sep 2018 - May 2019

Undergraduate Research Assistant

Stony Brook, New York, United States

Under advisement by Profs. Marivi Fernandez-Serra and Matthew Reuter, I developed a new graph-based metric to identify low and high density phases of water. This metric quantified symmetry-breaking in molecular dynamics simulations of phase transformations, and was discovered using Python data analysis tools.To create the data, I automated parallel molecular dynamics simulations of water on a computing cluster to search for the water-ice phase boundary using bash scripting tools.I shared research findings in a written thesis and presented a poster at the Honors College colloquium in May 2019.

Mar 2018 - May 2019

Undergraduate Research Assistant

Munich, Bavaria, Germany

During my semester abroad, I collaborated with a small team of German and Czech researchers to simulate hafnium-oxide ferroelectric materials using the LAMMPS molecular dynamics simulation package.This involved optimizing energetic and dynamical simulation parameters to determine equilibrium conditions and calculate heat capacity, electronic conductivity, and thermal conductivity, evaluating thermal stability

Mar 2017 - Aug 2017

Undergraduate Research Assistant

Stony Brook, New York, United States

This was my first taste of physics simulation research. I analyzed energetic data from the SIESTA density functional theory method to determine its accuracy, efficiency, and precision for over 50 solid state elemental phases.

Jun 2016 - Aug 2016
Team & coworkers

Colleagues at Trexquant Investment LP

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5 education records

James Glazar education

Doctor Of Philosophy - Phd, Materials Science, 3.59

Activities and Societies: Moelis Access Science, Activities for Community Education in Science, Wharton Golf ClubCoursework in Big Data.

Bachelor Of Science - Bs, Applied Mathematics And Statistics, Physics, 3.99

Activities and Societies: Honors College, NYC It All, Science Olympiad, Residential Tutoring Center, Physics Help RoomCoursework.

FAQ

Frequently asked questions about James Glazar

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

What company does James Glazar work for?

James Glazar works for Trexquant Investment LP.

What is James Glazar's role at Trexquant Investment LP?

James Glazar is listed as Head of LLM Quantitative Strategy Team at Trexquant Investment LP.

What is James Glazar's email address?

AeroLeads has found 1 work email signal at @trexquant.com for James Glazar at Trexquant Investment LP.

Where is James Glazar based?

James Glazar is based in Stamford, Connecticut, United States while working with Trexquant Investment LP.

What companies has James Glazar worked for?

James Glazar has worked for Trexquant Investment Lp, University Of Pennsylvania, Crunchdao, Penn Biotech Group, and Worldquant.

Who are James Glazar's colleagues at Trexquant Investment LP?

James Glazar's colleagues at Trexquant Investment LP include Tianfan Xu, 伍峥嵘, Aman Chandak, James Zaidi, and Srimahn V.

How can I contact James Glazar?

You can use AeroLeads to view verified contact signals for James Glazar at Trexquant Investment LP, including work email, phone, and LinkedIn data when available.

What schools did James Glazar attend?

James Glazar holds Doctor Of Philosophy - Phd, Materials Science, 3.59 from University Of Pennsylvania.

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