Who am I?

I am a researcher, engineer, and entrepreneur focusing on deep learning. I am interested in fundamental research in deep learning, physics, and pure math. After receiving my Ph.D., I have decided to build my own start up as a technical founder.

Research

Strong fundamental research can introduce widely useful concepts. Some of my recent research interests are as follows:

• artificial intelligence (AI),
• deep learning (DL),
• abstract algebra,
• information theory,
• statistical mechanics.

My Ph.D. thesis focused on graph based analysis and comparison of DL models. I have a peer reviewed publication that introduces a new methodology to rank DL models in terms of estimated performance without any training.

During my Ph.D. I also dabbled in genetic algorithms. I was particularly interested in treating the model architecture as genotype and sharing parameters across different models. This led to a PyTorch based library, Revolver that allowed neural architecture search (NAS) using genetic operators while reusing model components. For my master’s thesis I was interested in genetic algorithms as well. I studied the cellular organization in the retina, focusing on modeling cell-cell interactions and self organization.

Work culture that works

After working at several companies around the world, I have distilled ten important principles:

• 80-20.
• Stay agile.
• Build trust.
• Introduce value.
• Focus on customers.
• Give and ask for feedback.
• Be kind, direct, and precise.
• Measure success without sensationalism.
• Search for the right kind of problems to solve.
• Iterate and fail quickly, yet spare time to constantly invent.

Availability

Currently I am not available for job interviews but, for networking, feel free to send an email or connect via LinkedIn.