Arunesh (Arun) Mittal, PhD

AI investments and research

15+ studies at the Firm across manufacturing, aerospace, energy/utilities, software, and private equity due diligence + building McKinsey Global Institute’s Technology Council perspectives on emerging technologies across the AI value chain, agentic AI systems, and the global impact of AI on R&D and productivity

Dissertation on Bayesian deep generative AI models (state space, sequence, tree structured, vision models), with applications to text, imaging, and time-series data (and neural data). Under advisors: Paul Sajda and John Paisley

Graduate course assistant for: Deep Learning, Machine Learning, Bayesian Models for Machine Learning, Deep Learning in Biomedical Imaging

Advanced Analytics Master Class for MBAs

Generative models for computer vision with Prof. Pietro Perona (CalTech/Amazon AI) and Krzystof Chalupka

Machine learning models for epilepsy detection

Real-time two photon light scanning instrumentation software for neural imaging acquisition and neuron stimulation. Robotics control software.

Computer vision models with dynamical systems for activity recognition with Prof. Rene Vidal

Computer vision for clinical imaging

Focus: Generative AI, Probabilistic Machine Learning, Computer Vision and Clinical ML

Concentration: AI and Systems

Focus Areas: Machine Learning, Dynamical Systems and Complex Networks in Computer Vision and Neuroscience