• 07/28/2020 "Guide to Classification on Imbalanced Datasets" and "Programming Fairness in Algorithms" featured on Topbots.
  • 07/20/2020 Published "Guide to Classification on Imbalanced Datasets" on Medium.
  • 07/02/2020 Published "Programming Fairness in Algorithms" on Medium.
  • 06/17/2020 Guest on Towards Data Science Podcast.
  • 03/19/2020 Published "Guide to Interpretable Machine Learning" on Medium.
  • 03/15/2020 Left Scalable Magic.
  • 02/28/2020 Published "Data Privacy in the Age of Big Data" on Medium.
  • 02/28/2020 Published "Understanding Dataset Shift" on Medium.
  • 20/10/2019 Joined Scalable Magic startup by personal request of CEO Daniel Nadler as a Machine Learning Engineer.
  • 18/10/2019 Won student poster award at the American Atmospheric Aerosol Resesarch (AAAR) conference in Portland for work on real-time chemical sensing.
  • 28/06/2019 Passed Ph.D. qualifying examination in the School of Engineering and Applied Sciences at Harvard University.
  • 01/09/2017 Started my Ph.D. at Harvard University with Professor Scot Martin in Environmental Science and Engineering.

Work Experience

Critical Future

Dates: [01/06/2019 - Present]
  • Position: AI Consultant
  • Project: Consulting
  • Mentor: Adam Riccoboni (Managing Director)

Scalable Magic

Dates: [10/20/2019 - 03/15/2020]
  • Position: Machine Learning Engineer
  • Project: Unpaired Image-to-Image Translation
  • Mentor: Samantha Whitmore (Chief Data Scientist)


Dates: [01/06/2019 - 05/09/2019]
  • Position: Data Science Intern - Meteorology Team
  • Project: Pollen Emission Modeling
  • Mentor: Daniel Rothenberg (Chief Scientist)

Recent Blog Posts


September 2017 – November 2022
United States

Ph.D. Candidate

Harvard University

Doctor of Philosophy in Environmental Science with Data Science
September 2017 – May 2020
United States

Master's in Passing

Harvard University

Master of Science in Engineering Sciences
September 2013 – June 2017
United Kingdom/Singapore

BEng/MEng Student

Imperial College London

Integrated Bachelor/Master Degree in Mechanical Engineering with a Year Abroad


[Teaching Fellow] ES120: Engineering by Case Study. School of Engineering and Applied Sciences, Harvard University. Spring 2018-2021


  • Kennedy Memorial Trust Scholarship (2022)
  • Student Poster Award at AAAR Conference (2019)
  • Stonington Endowment Graduate Fellowship at Harvard University (2018,2019)
  • Certificate of Distinction in Teaching at Harvard University (Spring 2018, 2019, 2021)
  • Imperial College Dean’s List (Top 10% of students, 2014,2015,2016,2017)
  • Thomas Harley Charity Scholarship (2013,2014,2015,2016)