Experience

Penn Biotech Group

• United States
• Biotechnology Research
• 1 - 100 Employee

• VP of Investment Research

  • Mar 2023 - Present

  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! I am now the VP of Investment Research and am organizing next year's Biotech Investment Research program. 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! I am now the VP of Investment Research and am organizing next year's Biotech Investment Research program.



University of Pennsylvania

• United States
• Higher Education
• 700 & Above Employee

• Doctoral Researcher

  • Jun 2019 - Present

  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 Show less

• Teaching Assistant

  • Jan 2023 - May 2023

  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!

• Tech Transfer Fellow

  • Apr 2021 - May 2022

  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 Show less

• Teaching Assistant

  • Jun 2020 - Aug 2020

  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



WorldQuant

• United States
• Financial Services
• 700 & Above Employee

• Participant in WorldQuant International Quant Championship

  • Mar 2023 - Jul 2023

  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. 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.



Stony Brook University

• United States
• Higher Education
• 700 & Above Employee

• Student Tutor

  • Sep 2018 - May 2019

  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 Show less

• Undergraduate Research Assistant

  • Mar 2018 - May 2019

  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. Show less



Hochschule München University of Applied Sciences

• Germany
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Mar 2017 - Aug 2017

  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 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



Stony Brook University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Jun 2016 - Aug 2016

  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. 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.