Education

PhD in Applied Mathematics and Theoretical Physics
University of Cambridge, Cambridge, UK
2024 – 2027

• Title: Reinforcement Learning in Weather and Climate Model Parametrisations
• Supervisors: Mark Webb, Sebastian Schemm, Henry Moss, Peter Haynes, Emily Shuckburgh
• Met Office CASE Studentship
• AI for the Study of Environmental Risks (AI4ER) CDT

MRes in Environmental Data Science
University of Cambridge, Cambridge, UK
2023 – 2024

• AI for the Study of Environmental Risks (AI4ER) CDT

MSc in Computing (AI and ML Specialism)
Imperial College London, London, UK
2022 – 2023

• Grade: Distinguished (Project), Merit (Coursework)

BEng (Hons.) in Computer Science and Engineering
Jadavpur University, Kolkata, India
2018 – 2022

• Absolute Weighted CGPA: 9.4 / 10
• First Class Honours with Distinction
• Class Rank: 1 / 63

Higher Secondary Education
Delhi Public School, Ruby Park, Kolkata, India
2016 – 2018

• Basic Sciences with Computer Science
• AISSCE (Class XII): 96.4%

Secondary Education
The Assembly of God Church School, Park Street, Kolkata, India
2005 – 2016

• Basic Sciences with Computer Applications
• ICSE (Class X): 93%

Academic Work Experience

Technical Consultant
University of Waterloo, Waterloo, Canada
Sep 2021 – Sep 2022

• Developed data extraction scripts to ingest historical smart home device readings into an Azure-hosted Microsoft SQL database
• Deployed an automated cloud-based device registration website to source data from IoT-enabled smart wearable devices
• Project Supervisor: Dr Plinio Morita

MITACS Globalink Research Intern
University of Waterloo, Waterloo, Canada
Jun 2021 – Sep 2021

• Built a data ecosystem for mining and hosting air quality data from consumer-grade sensors deployed in Ulaanbaatar, Mongolia
• Engineered Azure-based cloud infrastructure and developed data ingestion pipelines for sensor onboarding
• Project Supervisor: Dr Plinio Morita

IASc Summer Research Fellow
Indian Statistical Institute, Kolkata, India
Jun 2021 – Aug 2021

• Developed an ML-based approach to predict the most suitable neural network verifier for Acas-Xu–style models with piecewise linear activations
• Implemented an end-to-end benchmarking pipeline to evaluate adversarial robustness and extract structural model signatures
• Project Supervisor: Dr Ansuman Banerjee

Undergraduate Research Assistant
Jadavpur University, Kolkata, India
Jun 2020 – May 2022

• Conducted a multi-city case study on air quality changes during the first and second COVID-19 lockdown waves in India
• Proposed hybrid learner models for spatiotemporal pollution forecasting using satellite aerosol optical depth and multi-site ensembles
• Performed comparative evaluations of statistical and DL-based methods for long-term pollution time-series forecasting
• Developed a novel accuracy enhancement method for time-series prediction using Matrix Profile and motif discovery
• Project Supervisor: Dr Sarbani Roy

Industrial Work Experience

Research Engineer Intern
Cloudflare Ltd., London, UK
Jul 2024 – Sep 2024

• Analysed DNS resolver cache performance within the 1.1.1.1 infrastructure using Jupyter Notebooks and ClickHouse
• Identified sources of sub-optimal caching behaviour and proposed data-driven mitigation strategies to improve resolver efficiency

Data Engineer Intern
Albion Capital Group LLP, London, UK
Dec 2023 – Feb 2024

• Developed Python automation scripts for periodic ingestion of company data from external platforms such as Beauhurst
• Designed data processing pipelines to integrate company data into CRM systems including Affinity for downstream analytics and custom GPT workflows

Automations Engineer Intern
Unify AI Ltd., London, UK
Nov 2022 – Sep 2023

• Served as automations sub-lead, developing scripts for internal role assignments and operational workflows
• Built an end-to-end automated onboarding pipeline for new contributors and engineers

Software Engineer Intern – AI Centre of Excellence
Jio Platforms Ltd., Mumbai, India
Jan 2022 – May 2022

• Developed gRPC-based APIs using Google Protobuf for CRUD operations on ArangoDB and InfluxDB
• Engineered knowledge graph wrapper APIs for an internal NLP-driven virtual medical assistant

Backend Web Developer
AppsWorld Software Pvt. Ltd., Kolkata, India
Sep 2019 – Nov 2019

• Deployed the development environment for an online book publishing platform on a cloud server
• Extended an open-source content management system and implemented Bengali localisation on the frontend

Data Science Intern
Xelpmoc Design and Tech Ltd., Kolkata, India
Jun 2019 – Jul 2019

• Built a data extraction pipeline to ingest electoral roll data published by the Election Commission of India into a NoSQL database
• Trained a deep learning–based transliteration model to romanise Bengali names into English

Languages

English
Professional fluency

বাংলা | Bengali
Native fluency

हिन्दी | Hindi
Working fluency

Skills

Languages: Python · C · JavaScript · SQL · Bash · Java

Frameworks: NumPy · Pandas · Scikit-learn · TensorFlow · PyTorch · Keras · Django · Flask · Node.js

Tools: Kubernetes · Docker · Git · PostgreSQL · MySQL · SQLite · ArangoDB · InfluxDB · LaTeX

Platforms: Linux · AWS · GCP · Azure · Slurm

Soft Skills: Leadership · Event Management · Public Engagement · Scientific Writing

DBLP Google Scholar

Publications

1. Nath, P., Schemm, S., Moss, H., Haynes, P., Shuckburgh, E., Webb, M. J
   Making Tunable Parameters State-Dependent in Weather and Climate Models with Reinforcement Learning.
   arXiv, 2026. arXiv:2601.04268

2. Nath, P., Schemm, S., Moss, H., Haynes, P., Shuckburgh, E., Webb, M
   FedRAIN-Lite: Federated reinforcement algorithms for improving idealised numerical weather and climate models.
   NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2025. arXiv:2508.14315

3. Nath, P., Moss, H., Shuckburgh, E., Webb, M
   RAIN: Reinforcement algorithms for improving numerical weather and climate models.
   EGU General Assembly (Oral), 2025. EGU25-5159 (ITS1.4/CL0.10).

4. Ren, Z., Nath, P., Shukla, P
   Improving tropical cyclone forecasting with video diffusion models.
   ICLR Workshop on Tackling Climate Change with Machine Learning, 2025. arXiv:2501.16003

5. Buffelli, D., Das, S., Lin, Y.-W., Vakili, S., Wang, C.-Y., Attarifar, M., et al
   Towards a Foundation Model for Communication Systems.
   ICML Workshop on Machine Learning for Wireless Communication and Networks, 2025. arXiv:2505.14603

6. Ling, Z., Nath, P., Quilodrán-Casas, C
   Estimating atmospheric variables from digital typhoon satellite images via conditional denoising diffusion models.
   NeurIPS Workshop on Tackling Climate Change with Machine Learning (Spotlight), 2024. arXiv:2409.07961

7. Nath, P., Shukla, P., Wang, S., Quilodrán-Casas, C
   Forecasting tropical cyclones with cascaded diffusion models.
   ICLR Workshop on Tackling Climate Change with Machine Learning, 2024.arXiv:2310.01690

8. Wang, K., Nath, P., Kaur, J., Cao, S., Morita, P. P
   Cloud-native remote monitoring data ecosystem for aging population based on commercial AAL sensors.
   Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023, pp. 1–5.

9. Nath, P, Middya, A. I., Roy, S
   Empirical assessment of transformer-based neural network architecture in forecasting pollution trends.
   International Journal of Data Science and Analytics, 2023, 20, 457–473.

10. Nath, P, Roy, B., Saha, P., Middya, A. I., Roy, S.
    Hybrid learning model for spatio-temporal forecasting of PM2.5 using aerosol optical depth.
    Neural Computing and Applications, 2022, 34(23), 21367–21386.

11. Saha, P., Nath, P., Middya, A. I., Roy, S
    Improving temporal predictions through time-series labeling using matrix profile and motifs.
    Neural Computing and Applications, 2022, 34(16), 13169–13185.

12. Nath, P., Saha, P., Middya, A. I., Roy, S
    Long-term time-series pollution forecast using statistical and deep learning methods.
    Neural Computing and Applications, 2021, 33(19), 12551–12570.

Summer Schools

• NCAS Climate Modelling Summer School
  National Centre for Atmospheric Sciences (NCAS), University of Reading
  Cambridge, UK · 2025

• NERC / NCEO / DARC Summer Training on Data Assimilation and ML
  University of Reading, Reading, UK · 2025

• Institute of Computing for Climate Science (ICCS) Summer School
  University of Cambridge, Cambridge, UK · 2024, 2025

Contributed Talks and Posters

• NeurIPS 2025 – Tackling Climate Change with Machine Learning Workshop
  Poster: FedRAIN-Lite: Federated RL for improving idealised numerical weather and climate models

• ELLIS Un-Conference 2025 – AI for Earth and Climate Sciences Workshop
  Oral: FedRAIN-Lite: Federated RL for improving idealised numerical weather and climate models

• EurIPS 2025 – AI for Climate and Conservation Workshop
  Poster: FedRAIN-Lite: Federated RL for improving idealised numerical weather and climate models

• Met Office – Data Science Community of Practice (2025)
  Talk: Making tunable parameters state-dependent in weather and climate models with RL

• ICML 2025 – Machine Learning for Wireless Communication and Networks Workshop
  Poster: Towards a Foundation Model for Communication Systems

• RMetS Annual Weather and Climate Conference 2025
  Poster: RAIN: Reinforcement algorithms for improving numerical weather and climate models

• PASC 2025 – Accelerating Sustainable Development through Coupled HPC Simulations and AI
  Oral: RAIN: Reinforcement algorithms for improving numerical weather and climate models

• EGU General Assembly 2025 – Advancing Earth System Models using Machine Learning
  Oral: RAIN: Reinforcement algorithms for improving numerical weather and climate models

• ICLR 2025 – Tackling Climate Change with Machine Learning Workshop
  Poster (Spotlight Recommended): *Improving tropical cyclone forecasting with video diffusion models

• AGU Fall Meeting 2024 – Developments in ML Subgrid-Scale Parameterisations for ESMs
  Poster: RAIN: Reinforcement algorithms for improving numerical weather and climate models

• NeurIPS 2024 – Tackling Climate Change with Machine Learning Workshop
  Poster: RAIN: Reinforcement algorithms for improving numerical weather and climate models
  Spotlight: Estimating atmospheric variables from digital typhoon satellite images via cDDPMs

• ICLR 2024 – Tackling Climate Change with Machine Learning Workshop
  Poster: Forecasting tropical cyclones with cascaded diffusion models

Positions of Responsibility

• Session Co-Convener
  EGU General Assembly 2026 · NP4.2: Developments in ML Across Earth System Models · 2026

• Workshop Reviewer
  NeurIPS / EurIPS · Tackling Climate Change with Machine Learning (TCCML) and AI for Conservation and Climate (AICC) · 2024 – 2025

• Lead Organiser
  NeurIPS@Cam · Department of Computer Science and Technology, University of Cambridge · 2025

• Co-Organiser
  NeurIPS@Cam · Department of Computer Science and Technology, University of Cambridge · 2024

• Co-Organiser
  AI4ER CDT Student Symposium · University of Cambridge · 2024

• MCR Treasurer
  Lucy Cavendish College, University of Cambridge · 2024 – 2025

• Student Volunteer
  ICRA 2023 · IEEE Robotics and Automation Society · 2023

• Chairperson
  IEEE Computer Society Student Branch Chapter · Jadavpur University · 2021 – 2022

• Departmental Placement Coordinator
  Department of Computer Science and Engineering · Jadavpur University · 2021 – 2022

• Class Representative
  Department of Computer Science and Engineering · Jadavpur University · 2018 – 2022

• Technical Head
  IEEE Student Branch · Jadavpur University · 2020 – 2021

• Lead Organiser
  C-Thru2k19 Freshers’ Event · Department of Computer Science and Engineering, Jadavpur University · 2019

Awards

• Turing PhD Enrichment Scheme Studentship · 2025
  Selected among the top doctoral students across the UK for a 9-month placement at the Alan Turing Institute

• UKRI NERC CASE Studentship (UK Met Office) · 2024
  Awarded with additional top-up funding and industrial co-supervision in collaboration with the UK Met Office

• UKRI EPSRC PhD Scholarship · 2023
  Fully funded four-year doctoral scholarship through the AI4ER CDT at the University of Cambridge

• University Gold Medal · 2022
  Highest CGPA in the Department of Computer Science and Engineering, Jadavpur University (2018–2022)

• IEEE Computer Society Richard E. Merwin Student Scholarship · 2021
  Selected among the top 20 students globally in recognition of exceptional student leadership

• IASc–INSA–NASI Summer Research Fellowship · 2021
  Awarded following selection from over 5,000 applicants for national summer research fellowship

• MITACS Globalink Research Internship · 2021
  Competitive international research internship at a Canadian university

• Smart India Hackathon (Winner) · 2020
  Student Innovation Category, Sustainable Environment Track

• The Bengal Chamber Technology Quiz (1st Place) · 2020
  National Finals, ranked first among 50 teams

• CBSE Merit Certificate · 2018
  Top 0.1% nationally in Computer Science, AISSCE