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About

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About

Contact

Resume

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Work Experience

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About me.

I am a post-doctoral researcher at Meta's Fundamental AI Research (FAIR) chemistry team, focusing on leveraging automated labs, computational models, and machine learning to develop new materials for energy, climate, and next generation of technology.


At Meta, I lead a research team bridging simulations and real-world experiments. My main contributions include releasing large datasets such as the OpenCatalyst series (including OCx24) and help with developing tools like the Open Catalyst demo, used by thousands today to design new catalysts.


During my Ph.D. at the University of Toronto, I was a Vanier Scholar and served as program director for the A3MD consortium. I was also part of the CERT team, a Carbon XPRIZE finalist team that scaled CO₂ conversion technology from lab to pilot scale.


In 2023, I was recognized as an Emergent Hydrogen Leader at the Canadian Hydrogen Convention, and featured in the University of Toronto’s Grads-to-Watch list.

I am a post-doctoral researcher at Meta's Fundamental AI Research (FAIR) chemistry team, focusing on leveraging automated labs, computational models, and machine learning to develop new materials for energy, climate, and next generation of technology.


At Meta, I lead a research team bridging simulations and real-world experiments. My main contributions include releasing large datasets such as the OpenCatalyst series (including OCx24) and help with developing tools like the Open Catalyst demo, used by thousands today to design new catalysts.


During my Ph.D. at the University of Toronto, I was a Vanier Scholar and served as program director for the A3MD consortium. I was also part of the CERT team, a Carbon XPRIZE finalist team that scaled CO₂ conversion technology from lab to pilot scale.


In 2023, I was recognized as an Emergent Hydrogen Leader at the Canadian Hydrogen Convention, and featured in the University of Toronto’s Grads-to-Watch list.

I work at the intersection of three domains

Materials Science

+8 yr experience

Autonomous labs

Operando characterization

Alloys, oxides, chalcogenides , and amorphous materials

Nanoparticles and thin films

Cleanroom: ALD, PVD, Sputtering

Synchrotron X-ray absorption

Electron microscopy: TEM and SEM

Spectroscopy and diffraction

Materials Science

+8 yr experience

Autonomous labs

Operando characterization

Alloys, oxides, chalcogenides , and amorphous materials

Nanoparticles and thin films

Cleanroom: ALD, PVD, Sputtering

Synchrotron X-ray absorption

Electron microscopy: TEM and SEM

Spectroscopy and diffraction

Energy

+10 yrs experience

Water electrolysis: green hydrogen

CO2 electrolysis

Chemical upcycling

Plasmonic photocatalysis

Energy storage

Water absorption

Dye sensitized solar cells

Artificial Intelligence

+2 yrs experience

Curating high-quality datasets for science

Feature engineering

Supervised and unsupervised learning on small datasets

Representation learning

Validation and benchmarking

Work Experience

Apr 2023 · Present

Postdoctoral Researcher

Meta - FAIR

I spearheaded a team at FAIR chemistry to accelerate experimental validation in catalyst discovery for climate-focused applications.

SEP 2020 · Apr 2023

Program Director

University of Toronto - A3MD

I initiated and directed a research program on catalyst discovery for an academic-industrial consortium which included TotalEnergies, BP, Microsoft, LG, and Meta.

MAY 2019 · JAN 2021

Research Scientist

cert systems - XPRIZE

I was on the team that scaled up and operated the largest pilot plant for CO2 electrolysis. We were one of five finalists for the $20M Carbon XPRIZE.

SEP 2015 · Sep 2018

Research Engineer

Masdar Institue & MIT

I developed thin films and nanomaterials for plasmonic and energy applications in class 100 cleanrooms and used electron microscopy (TEM, SEM) and atomic probes (AFM, SNOM) to develop better functional materials.

Education

SEP 2018 · MAR 2023

Doctor of Philosophy

University of Toronto

Materials Science and Engineering, Vanier Scholar

Thesis topic: Applications of ML in accelerating the design of catalysts

Supervisor: Edward H. Sargent

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