Please find my updated CV University of Toronto
Research Assistant
Full-Time (Sep '21 - Present, 24 m)
Domain: Computational Modeling, Public Health, and Climate Change
About me
The central question that I look at is whether technology that looks "green" on paper actually delivers environmental and public-health benefits in the real world. I combine large air-pollution data-sets, epidemiological statistics, and interpretable ML models to quantify outcomes such as childhood-asthma incidence when electric-vehicle sales rise, or energy "rebound" in smart buildings after efficiency upgrades. Through science communication and by making the models transparent, I aims to give regulators a defensible basis for zero-emission-vehicle mandates, building-codes, and data-centre standards. At the University of Toronto, I am supervised by Dr. Steve Easterbrook. I am a doctoral fellow at the University of Toronto's Climate Positive Energy (CPE) and Data Science Institute (DSI), where I contribute to research on sustainable energy solutions and data-driven environmental policy. I'm a member of President's Advisory Committee for Environment, Climate Change, and Sustainability where I co-chair the Student Leadership Subcommittee. I'm also a member of Toronto Climate Observatory where we build decision-support tools so cities can transition to clean energy without inadvertently shifting emissions or health burdens onto other communities. "Where there is much desire to learn, thereof necessity will be much arguing, much writing, many opinions; for opinion in good men (good person) is but knowledge in the making." — John Milton.
Experience
Just Sustainability Design Lab
Research Assistant
Remote (Fall'23 - Present, 2 m)
Domain: Data Curation in Machine Learning
President's Advisory Committee on the Environment, Climate Change, and Sustainability
Research Assistant
Full-Time (Summer'23, 5 m)
Domain: Sustainability Education
Advisor(s)
Dr. Ayako ArigaResponsibilities
Keele University
Research Assistant
Remote (Aug '20 - Jun '21, 11 m)
Domain: Software Engineering
Responsibilities
Nyalazone Solutions Pvt. Ltd.
Data Scientist
Full-Time (Jul'19 - Jul'20, 12 m)
Domain: Algorithms, Data Management, and Data Transformation.
Responsibilities
Delhivery Pvt. Ltd.
Associate Data Scientist Intern
Full-Time (Jan'19 - Jul'19, 6 m)
Domain: Data science, Statistics, and Machine learning
Responsibilities
Due to largely unstructured geographical planning and high population density, residential address matching is crucial. I worked on the performance enhancement of the address similarity engine that employs hierarchical structures derived from a residential address, along with edit distance-based matching using phonetics.
AI Credentials
Improving your statistical inferencesEindhoven University of Technology, Netherlands (7 weeks)
Coursera certificate
Coursera certificate
Bayesian Statistics: Techniques and Models University of California Santa Cruz, California, US (5 weeks)
Coursera certificate
Coursera certificate
Applied Social Network Analysis in PythonUniversity of Michigan, Michigan, US (4 weeks)
Coursera certificate
Coursera certificate
Publications
Broadly, I have published peer-reviewed contributions in computational modeling, HCI, software engineering, and data mining.
Policy-Driven Air-Health Modeling
1
Domain: Environmental Epidemiology, Climate Policy
2
Domain: Systems Thinking, Literature Review
3
Domain: Network science, Ensemble learning, and Exposure modeling
4
Domain: Environmental Policies Assessment, Network Science, and Emission Modeling
Design for Digital Sufficiency
5
Domain: User Interface Design, Critical Computing
6
Domain: Opinion, Demand Analysis
7
Domain: Climate Change, Sustainability, and Empirical Analysis
Responsible AI
8
Domain: Data curation, Machine learning
9
Domain: Data Curation in Machine Learning
Software Engineering
10
Domain: Software Engineering for Cybersecurity.
11
Domain: Topic Modeling and Empirical Analysis
12
Domain: Data Science and Empirical Analysis
13
Domain: Data Science and Empirical Analysis
14
Domain: Algorithm and Problem Solving
Data Mining
15
Domain: Statistical Modeling and Time-series Analysis
16
Domain: Network Communication and Cybersecurity.
17
Domain: NoSQL - Database Management Systems and Empirical Analyeses
18
Domain: Global Water-Security
Concurrent Computing
19
Domain: Parallel Processing Algorithms and High-Performance Computing
Science Communication & Public Writing
I write for general audiences about electric vehicles, air pollution, children's health, and climate governance, and my research has also been featured in institutional and media coverage.
Authored pieces
Distills our Environmental Research study showing that replacing a share of gas car sales with EVs has already cut childhood asthma incidence in several U.S. states, and argues for policies that focus on retiring older polluting vehicles.
Explains how the geoexchange system under King's College Circle and Project LEAP show that deep decarbonization of campus heating can be financially attractive rather than a cost burden.
Uses Netflix's 3 Body Problem as a hook to explain what the three-body problem actually is and how stable orbits and climate models fit into the broader story of chaos.
Critiques Apple's "Crush" advertisement through interviews with musicians and frames creative tools like the iPad as part of longer histories of digital colonialism and dispossession.
Discusses how a second Trump term could reshape U.S. climate policy by expanding deregulation like the SAFE Vehicles Rule and shows why climate decisions must be grounded in scientific evidence.
Makes the case that student housing and co-op residence governance should treat climate action as core infrastructure, from heating systems to waste, rather than a lifestyle choice.
Reviews Steve Easterbrook's Computing the Climate as an accessible guide to how climate models work, where their uncertainties lie, and why they still support urgent mitigation.
Media coverage & features
Profile piece on my EV and childhood asthma research, explaining how zero-emission vehicle mandates and scrappage policies can deliver public health benefits while advancing climate goals.
Recounts the launch event for the Lawson Climate Institute, highlights the Lawsons' gift, and includes my remarks on why student leadership and interdisciplinary work matter for climate solutions.
Summarizes our Environmental Research paper for a research audience, emphasizing the methods, EV adoption thresholds, and why health benefits only appear when EVs replace gas cars instead of simply adding to the fleet.
Peer-Review Experience
- Air Quality, Atmosphere & Health (Springer Nature): Reviewed research on the intersection Machine Learning and Air Quality (Twice).
- PLOS One (PLOS),: Reviewed research on the intersection of COVID-19 and network science (Once).
- Journal of Hydrology - Elsevier: Reviewed research on the intersection of Social Network Analysis and Water Management (Thrice).
- Wireless Personal Communication - Springer: Reviewed Cybersecurity research (5 times).
- International Conference on Computational Intelligence and Data Science 2018 (ICCIDS2018): Reviewed data science research (Once).
Projects
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Trip-Advisor Scraping
This project is the part of Flight module of Review Pool project.
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JIIT-Simplified Scraping
This project is the part of my involvement with JIIT-Simplified platform as a core-team member.
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Presentations
1. Presented at ACM COMPASS 2023 (SIGCAS/SIGCHI Conference on Computing and Sustainable Societies) in Cape Town, South Africa, a research paper titled 'How Viable Are Energy Savings in Smart Homes? A Call to Embrace Rebound Effects in Sustainable HCI'.
2. Presented at Emerging Mobility Scholars Conference 2023 in Toronto, Canada, a research paper titled 'Impact of EV sales on childhood asthma in the US: Can ZEV mandates help?'.
3. Presented at Climate Positive Energy Research Day 2023 in Toronto, Canada, a research paper titled 'Examining the public health impact of ZEV mandates in the US'.
4. Presented at IEEE- International Conference on Contemporary Computing-2017 in Noida, India, a research paper titled 'No-Escape Search: Design and Implementation of Cloud Based Directory Content Search'.
5. Presented at National Seminar on Unboxing Today's Consumers in a Global And Digital Age in Noida, India, a review paper titled 'Desalination as permanent solution for water scarcity'.
Involvements
1. Graduated from the Young Urban Forest Leaders (YUFL) program by LEAF in Toronto, 2024, specializing in urban forestry and community leadership.
2. Volunteered at Second Mile Club at Kensington Health, a senior home, through the Community Action Program (CAP) at the University of Toronto, providing support and companionship to elderly residents for 2023-24.
3. Collaborated with Climate Justice Toronto in organizing the Global March for Climate Action at Queen's Park in September 2023, advocating for progressive environmental policies and community engagement.
4. Attended the International Summer School on ICT for Sustainability (ICT4S 2021)
5. Attended a two-day Harvard US India Initiative Conference, Delhi-2018.