CV
Education
University of Washington Seattle, WA
Graduate Student, Department of Atmospheric Sciences (2021 - present)
Indian Institute of Technology Delhi (IIT Delhi) New Delhi, India
B.Tech., Civil Engineering (2015 - 2019)
Awards
- NASA FINESST Fellowship (2022 - 2025)
- Integral Environmental Big Data Research Fund (2022-2023)
- Department of Atmospheric Sciences, University of Washington Scholarship Award (2021)
- Centre of Excellence for Research on Clean Air (CERCA IIT Delhi) Grant (2019)
- IIT Delhi Department of Civil Engineering Best Undergraduate Project Award (Mr. and Mrs. Premsheel Bhatnagar Award 2019)
- Asia-Europe Foundation Fellowship (2019)
- Tsinghua University Summer School of Environment Scholarship (2019)
- Freedom of Kumaon House Award, IIT Delhi (2019)
- Best Secretary BRCA, IIT Delhi (2018)
- Face of Kumaon House Award, IIT Delhi (2018)
- Kishor Vaigyanik Protsahan Yojana (KVPY) Scholarship (2015)
- Dakshana Foundation Fellowship (2013-2019)
Professional Experience
Graduate Research Assistant (2021 - present)
Department of Atmospheric Sciences, University of Washington Seattle, WA
Associate Data Scientist (2019 - 2021)
Innovation team, Innoplexus Consulting Pvt. Ltd. Pune, India
Data Science - Intern (2018)
Data Engineering team, Innoplexus Consulting Pvt. Ltd. Pune, India
Business Analyst - Intern (2017)
Merger & Acquisition team, Eli India Pvt. Ltd. Delhi, India
Research
University of Washington Seattle, WA
Advisor: Alex Turner (2021 - present)
- Working to develop an emulator for full physics-based atmospheric transport models using machine learning algorithms to compute footprints in near-real-time.
- Developing and applying methods to conduct inversions for GHG emissions using computationally efficient methods and atmospheric transport emulator.
- Analyzing different cost functions for inversions and compare their performances through validation methods
IIT Delhi New Delhi, India
Advisor: Mukesh Khare (2018 - 2019)
- Worked on identifying characteristics of photochemical pollutants over Indo-Gangetic Plain along with prediction of concentration of photochemical pollutants especially ozone based on other pollutants (VOCs) and meteorological parameters using machine learning methods.
Mentorship
Simon Zhang, undergraduate student, Developing inversion modules for different cost functions including iterative based methods, University of Washington (September 2021 - Present).