I am a machine learning expert with more than 10 years of experience in applications related to challenging inverse problems. Currently, I am looking into lowering the energy needed to power AI.
My interests beyond machine learning are emergent phenomena in complex networked systems such as social media networks, and the brain. I believe that information processing and energy consumption are closely connected via notions such as free-energy, and that the study of complex self-organizing natural phenomena can teach us tremendously in this regard.
In the past years, my focus was on the development of signal processing algorithms for (optical) metrology applications (Tools that measure at nanometer accuracy). (Bayesian) probabilistic modeling, machine learning and numerical optimization are tools I regularly use.
Thursday October 28 7:30 AM – Thursday October 28 8:00 AM in Talks II