Vispi Karkaria

Vispi Nevile Karkaria

Machine Learning Scientist @ Lila Sciences

Building AI systems for scientific discovery

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0+ Publications
0 Patents
0+ Citations
PhD Northwestern

Agentic AI

Multi-agent systems for scientific problem solving

Foundation Models

Models for chemistry and materials science

Neural Operators

Spatio-temporal operators for physics prediction

Autonomous Discovery

AI-driven experimental design & optimization

New Joined Lila Sciences as Machine Learning Scientist — working on agentic AI for scientific discovery

Skills & Tech Stack

Python
PyTorch
Transformers
LLMs / RAG
Bayesian Optimization
Neural Operators
Reinforcement Learning
Gaussian Processes
Time Series
Uncertainty Quantification
Docker
AWS
MLflow
Federated Learning
Scientific Computing
FAISS

Featured Work

RAG-Based AI Pharmacist

92% Recall
GitHub

Spatio-Temporal Neural Operator

+25% Accuracy
GitHub

BOTS: BO for Time Series

Transformer + BO
GitHub

RL-Transformer Tire Allocation

+50% Prediction+95% Health

RL policy with Temporal Fusion Transformer for tire resource management.

Open Source

Deep-UQ

Python package for deep learning-based uncertainty quantification. Provides tools for probabilistic predictions and calibrated confidence intervals in neural networks.

Docs Code

Experience

Mar 2026 - Present

Lila Sciences - Machine Learning Scientist

Agentic AI, scientific foundation models, autonomous discovery

Jun 2025 - Sep 2025

Epsilon - ML Scientist Intern

Transformer-based AdTech prediction (+25% accuracy)

Jun 2024 - Sep 2024

Ansys - ML Research Intern

Hybrid transformer framework (+30% accuracy), patented

Sep 2021 - Mar 2026

Northwestern University - Graduate Research Assistant

Digital twins, tire monitoring, RL frameworks

Aug 2020 - Aug 2021

Tata Research - ML Intern

Gaussian processes for airplane wing manufacturing

Publications

14 journal papers • Google Scholar

  1. Chen, Y-P., Tsai, Y-K., Karkaria, V., and Chen, W., 2026. "Uncertainty-Aware Digital Twins..." Journal of Mechanical Design
  2. Karkaria, V., Lee, D., et al., 2025. "An Attention-based Spatio-Temporal Neural Operator..." ML: Science and Technology
  3. Karkaria, V., Tsai, Y-K., et al., 2025. "An Optimization-Centric Review..." Engineering Optimization, 57(1)
  4. Chen, Y-P., Karkaria, V., et al., 2025. "Real-Time Decision-Making for Digital Twin..." Journal of Manufacturing Systems, 80
  5. Karkaria, V., Chen, J., et al., 2024. "A Digital Twin Framework... Enhancing Tire Health Monitoring." JCISE, 25

Education

PhD, Northwestern
2021–2026 • GPA 3.87 • ML & Digital Twins
Cert. Predictive Science
Northwestern • 2022–2024 • GPA 4.0
B.E. Mech. Eng., COEP
2018–2021 • 9.84/10 • Gold Medalist

Blog

Feb 2025
Scientific Foundation Model
Nov 2024
The Impact of Language Models on Engineering
Aug 2024
What is a Digital Twin?
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