cv
My academic journey, in broad strokes.
General Information
| Full Name | Saksham Jain |
| Languages | Hindi, English, Japanese, French (Beginner) |
Education
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2027 (Expected) PhD, Statistics
University of Washington-Seattle, USA - Conditional distributional treatment effects - doubly robust estimation and testing
- Longitudinal causal inference with multiple continuous exposures - an application to proteomics (Working Paper)
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2022 MS, ECE (ML Concentration)
Duke University, USA - Evaluating pre-trial programs using interpretable ML matching methods for causal inference (Master's Project)
- Closing the domain gap - blended synthetic imagery for climate object detection
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2019 BE, Robotics & Automation
University of Delhi, India - Synthetic data augmentation for surface defect detection and classification using deep learning (Bachelor's Thesis)
(Select) Experience
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Jun'25 - Sep'25 Research Intern
RIKEN-AIP and the University of Tokyo - State evolution for gradient descent in finite-width multi-layer neural networks
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Jun'24 - Sep'24 Applied Scientist II Intern
Amazon Science - LLMs for demand forecasting
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Jan'20 - Aug'20 Research Assistant
Indian Institute of Science Bangalore - Training-data-free distillation
- Smart super-resolution for sattelite imagery
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Jun'19 - Jan'20 Machine Learning Engineer
Million Sparks Foundation - Recommendation systems
Academic Interests
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Causal Inference
- Distributional treatment effects
- Counterfactual sampling from generative models
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Deep Learning
- Precise gradient descent dynamics, and applications
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Interactive ML
- Adaptive experimental design
- Dynamic treatment regimes