Experience

Dutco Group

• Construction
• 300 - 400 Employee

• Ventures Associate

  • Sep 2020 - Present

  Supporting group initiatives and investments in energy storage and artificial intelligence activitiesLeading techno-economic due diligence process and business development

• Market Development Analyst

  • May 2020 - Aug 2020

  Worked as part of founding team of a newly established cleantech arm of a diversified multinational conglomerateled techno-economic and white-paper analyses, organized and conducted deal-flow and strategy development sessions; conveyed findings to teamSorted through potential companies, identified and reviewed companies for further due diligence, presented findings to senior leadership and team lead



Columbia University Bolun Xu Group

• Research Assistant

  • Feb 2022 - Jan 2023

  -Researched and developed a learning based method for price arbitrage of energy storage in real time energy markets. -Researched and developed a learning based method for price arbitrage of energy storage in real time energy markets.



Computational Imaging Systems Lab at Boston University ( http://sites.bu.edu/tianlab/ )

• Boston, Massachusetts, United States

• Researcher

  • Dec 2019 - May 2021

  Undertook independent R&D of physics-guided and data-driven Deep Learning based solutions for intensity diffraction tomography problems to assist in creation of low-cost aperture microscopes Performed extensive literature reviews at multiple points, formulated research plan and direction accordingly Adapted, coded, and tested different network architectures (Unet, Resnet, encoder-decoder multi-expert transfer learning models)/training techniques (N2N, N2V) Undertook independent R&D of physics-guided and data-driven Deep Learning based solutions for intensity diffraction tomography problems to assist in creation of low-cost aperture microscopes Performed extensive literature reviews at multiple points, formulated research plan and direction accordingly Adapted, coded, and tested different network architectures (Unet, Resnet, encoder-decoder multi-expert transfer learning models)/training techniques (N2N, N2V)



Center for Semiconductor Devices Modelling ( http://www.bu.edu/csm/ )

• Boston, Massachusetts, United States

• Researcher/Tech Analyst

  • Dec 2019 - May 2020

  Derived and coded a computational physical model of a semiconductor material of interest (MerCad) Researched literature extensively (both textbooks and papers) to find and study the analytical and experimental expressions used in the model Derived and coded a computational physical model of a semiconductor material of interest (MerCad) Researched literature extensively (both textbooks and papers) to find and study the analytical and experimental expressions used in the model



Semeter Group at Boston University ( https://heaviside.bu.edu/ )

• Boston, Massachusetts, United States

• Research Assistant

  • May 2019 - Aug 2019

  Developed, along with Professor Michael Hirsch, a computer-vision based algorithm to catalogue many years of camera data and to classify the video between events of interest and other (in this case, alfvenic aurora and clouds/stars) Developed, along with Professor Michael Hirsch, a computer-vision based algorithm to catalogue many years of camera data and to classify the video between events of interest and other (in this case, alfvenic aurora and clouds/stars)