Engineer/Scientist/Program Manager
Summary
Currently working as a Postdoctoral Researcher at the Massachusetts Institute of Technology with 6+ years of experience across industry and academia, with a PhD in computer science.
I have a strong background in Computer Vision, AI/Machine Learning, signal processing and neuroinformatics. The primary application of my work has been in the healthcare domain including medical image and signal analysis. I am a strong advocate of reproducible science and an ardent believer in solving problems together.
Key focus areas: self-supervised learning, multimodal learning, generative models, classical machine learning, compressed sensing, sparsity-based methods, open source ML software development, reproducible research.
Technical skills: Python, TensorFlow/Keras, JAX, Pandas, Docker, C++, Matlab
Other skills:
- translation of research outputs to real-world scenarios.
- solving problems in teams, and learning new skills quickly
- adapting to new technologies
- multi-site international collaborations across projects
- strong exposure to science communication and project management
Expectations
This applies to startups or big-tech companies: I am looking for a fast-paced, goal-driven team that believes in open communication and reproducible research, and encourages solving problems in teams. I hope to be a part of high-impact projects with a mission to make a difference to the world.
Employment Preferences
Relocation destinations:
- United States
- United Kingdom
- United Arab Emirates
- Montreal, Quebec, Canada
- Germany
- France
Expected Base Salary
**0,000 USD
Expected Hourly Rate
**0 USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- Tensorflow
- Keras
- C++
- Computer Vision
- Deep Learning
- Machine Learning
- AI
- Neuroscience
- Neuroinformatics
- PhD
- Doctorate
- Medical Imaging
- Medical Image Analysis
- Image Processing
- Signal Processing
- Self Supervised Learning
- Generative Models
- Bayesian Learning
- Compressed Sensing
- Imaging
- Cameras
- Healthcare
- Pytorch
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