Jonathan Shan
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Jonathan Shan Email & Phone Number

ML/DFT Research Assistant @ University of Toronto | Stanford | MIT | Materials Science and Engineering | at University of California, Berkeley
Location: Toronto, Ontario, Canada 11 work roles 2 schools
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Role
ML/DFT Research Assistant @ University of Toronto | Stanford | MIT | Materials Science and Engineering |
Location
Toronto, Ontario, Canada

Who is Jonathan Shan? Overview

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Jonathan Shan is listed as ML/DFT Research Assistant @ University of Toronto | Stanford | MIT | Materials Science and Engineering | at University of California, Berkeley, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Jonathan Shan.

Jonathan Shan previously worked as Research Affiliate at University Of California, Berkeley and Research Assistant at University Of Toronto. Jonathan Shan holds Bachelor'S Degree, Materials Science And Engineering, 3.80/4.00 from University Of Toronto.

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University of California, Berkeley

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Profile bio

About Jonathan Shan

I'm a Materials Science and Engineering graduate from the University of Toronto, specializing in the intersection of Density Functional Theory (DFT)/first principle calculations and machine learning to tackle complex material science challenges. My research, spanning four years, focuses on catalytic structure optimization for sustainable energy, utilizing DFT simulations and machine learning for accelerated discovery. I also have experience simulating other materials systems such as High Entropy Alloys (HEA), Metal-Organic Frameworks (MOF), and Transition Metal Dichalcogenide (TMD) bilayers. I'm keen to connect with peers and professionals who are passionate about leveraging computational approaches for material innovation. Let’s explore collaborative opportunities to advance the field of materials science.

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University of California, Berkeley
University Of California, Berkeley
ML/DFT Research Assistant @ University of Toronto | Stanford | MIT | Materials Science and Engineering |
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11 roles

Jonathan Shan work experience

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Research Affiliate

Current

Berkeley, California, United States

Under the supervision of Professor Kristin Persson at UC Berkeley, I am developing and utilizing a graph convolutional network framework to predict reaction pathways and intermediates in Li-ion electrolytes at the cathode-anode interface. This work aims to streamline and significantly lower computational costs for battery design by reducing the number of.

Oct 2024 - Present

Research Assistant

Current

Toronto, Ontario, Canada

Post-baccalaureate research assistant at the Aspuru-Guzik Group (Matter Lab) at the University of Toronto. Working on High entropy SAC’s modeling + ML integration

Aug 2024 - Present

Undergraduate Research Assistant

Undergraduate researcher under the supervision of Professor Felipe Jornada, working on investigating the effect of moiré structures on excitons in transition metal dichalcogenide bilayers.

May 2023 - Oct 2023

Undergraduate Student Researcher

Undergraduate research student of the Learning Matter Lab at MIT. Helping to accelerate metal oxide catalyst designs for the Oxygen Evolution Reaction using ML.

Aug 2022 - Jun 2023

Undergraduate Research Fellow

Undergraduate Researcher at the Monserrat Lab. Working on assisting the development of a graph based machine learning model to predict hydrogen capture capabilities of metal-organic frameworks (MOF’s).

Feb 2023 - May 2023

Undergraduate Research Fellow

Toronto, Ontario, Canada

Undergraduate Research Fellow at the Aspuru-Guzik Group (Matter Lab) at the University of Toronto. Helped investigate spinel oxide catalysts' facet dependencies on the catalytic performance of Oxygen Revolution Reaction, using DFT and Machine Learning.

May 2022 - Jan 2023

Undergraduate Research Fellow

Toronto, Ontario, Canada

Undergraduate research fellow in the Computation Materials (CME) Lab at the University of Toronto. Independent research project discovering single metal atom catalysts using Density Functional Theory and Machine Learning.

Mar 2021 - Dec 2022

Mentorship Director

Toronto, Ontario, Canada

helped implement an unprecedented mentorship program for 2T6 MSE students. This program will be embedded within the MSE curriculum and benefit first year students for many years to come.

Aug 2021 - May 2022

Specialist Intern

Suzhou, Jiangsu, China

Specialist Intern at Apple, suzhou.

May 2021 - Aug 2021

Laboratory Intern/ Research Assistant

Hsinchu City, Taiwan, Taiwan

Co-authored a DFT studies paper on Hydrogen Activation on Single Atom Catalysts (SACs) using VASP and DFT calculations.

May 2020 - Sep 2020

Research Intern

Jbao Tech

Suzhou, Jiangsu, China

Conducted various experiments regarding copper plating of solar cell wafers

May 2019 - Sep 2020
2 education records

Jonathan Shan education

Summer Session Studies, Credit Transferred

Activities and Societies: CS229 Machine Learning, ENGR145 Technology Entrepreneurship

FAQ

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What company does Jonathan Shan work for?

Jonathan Shan works for University of California, Berkeley.

What is Jonathan Shan's role at University of California, Berkeley?

Jonathan Shan is listed as ML/DFT Research Assistant @ University of Toronto | Stanford | MIT | Materials Science and Engineering | at University of California, Berkeley.

Where is Jonathan Shan based?

Jonathan Shan is based in Toronto, Ontario, Canada while working with University of California, Berkeley.

What companies has Jonathan Shan worked for?

Jonathan Shan has worked for University Of California, Berkeley, University Of Toronto, Stanford University, Massachusetts Institute Of Technology, and University Of Cambridge.

How can I contact Jonathan Shan?

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What schools did Jonathan Shan attend?

Jonathan Shan holds Bachelor'S Degree, Materials Science And Engineering, 3.80/4.00 from University Of Toronto.

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