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Skills
Tech Skills
Portfolio
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Modular Flows: Differential Molecular Generation, NeurIPS 2022
URL: https://arxiv.org/abs/2210.06032 -
ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs, ICLR 2024
URL: https://yogeshverma1998.github.io/ClimODE/ -
Diffusion Twigs with Loop Guidance for Conditional Graph Generation, NeurIPS 2024
URL: https://arxiv.org/pdf/2410.24012v1
Education
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January 2022 -
Aalto University
Ph.D. Machine Learning
Finland
1. Thesis: Robust Representation Learning for Modeling Complex Systems
2. Supervisors: Prof. Vikas Garg, Dr. Markus Heinonen and Prof. Samuel Kaski
3. Awards: Nokia Scholarship, DAAD AI-Net Fellow
Work Experience
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January 2022 - Present
Aalto University, Finland
Ph.D. Researcher
- Developed scalable Bayesian and Generative AI methods for predictive modeling in complex real-world dynamical systems, focusing on uncertainty quantification, generative modeling, and robust inference.
- Designed and deployed end-to-end cloud-based, scalable ML pipelines (AWS) with performance optimization for high-throughput forecasting and decision support.
- Published novel machine learning research and methods in top-tier conferences such as NeurIPS, ICML, and ICLR.
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July 2024 - November 2024
Huawei, Finland
Machine Learning Research Intern
- Worked with real-world temporal physiological signals to infer health-related biomarkers of the human body.
- Performed rigorous data pre-processing and implemented efficient automated data pipelines for cleaning and extracting predictive signals within multiple noisy datasets.
- Developed and implemented data-efficient and robust probabilistic ML methods for sensing applications, increasing accuracy by 15%.
Certifications & Licences
- 2024
- 2024
- 2025
