Scientist/Engineer

Summary

Currently working as a Postdoctoral Researcher at the Massachusetts Institute of Technology. My interests span across Computer Science and healthcare primarily involving building robust predictive models. I have a strong background in Computer Vision, AI/Deep/Machine Learning, Image/Signal processing and neuroinformatics. Strong believer in open and reproducible science and solving problems through collaborations.

Key focus areas: self-supervised learning, multimodal learning, generative models, classical machine learning, model based development, open source ML software development, reproducible research.

Skilled in Python (TensorFlow/Keras), JAX, Pandas, Docker, Matlab.

Prior experience in both academia and industry including translation of research outputs to real-world scenarios. I have a doctorate in computer science and my thesis focused on Data Driven Methods (using Machine Learning) for Accelerated Analysis of Neuroimaging Data. Strong track record of multi-site collaborations across academia and industry along with high-impact publications.

Expectations

A scientist or engineering role in deep learning or machine learning in a fast-paced, goal-driven team (this can be a startup or a big tech company). Looking for groups working on high-impact projects with a mission to make a difference to the world.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Deep Learning
• Self-supervised Learning
• Generative Models
• Machine Learning
• AI
• ML
• Tensorflow
• Pytorch
• Neuroscience
• Neuroinformatics
• Computer Vision
• Image Processing
• Signal Processing
• Leadership
• Collaborations
• Teamwork
• Project Management
• International Collaborations