Sarah Jindal
Sarah is Mintel’s Senior Innovation and Insights Analyst and has over 16 years of experience developing ingredient technologies for beauty and personal care companies. Having worked for a variety of companies over her career, Sarah has gained an in-depth understanding of the industry and draws upon not only her work experience but also degrees in Biology, Biochemistry, and Evolutionary Biology
Jennifer Myers
Jennifer Myers is a Senior Director of Engineering at Intel. She leads teams optimizing Deep Learning frameworks for Intel CPUs, as well as the teams developing the nGraph Deep Learning compiler. nGraph is an Open Source project aiming to optimize both training and inference across a wide variety of frameworks, topologies and backends (CPU, GPU, FPGA, DL accelerators). Jennifer joined Intel as part of the Nervana Systems acquisition in 2016. Prior to this, she had a 20+ year career in technical leadership positions across a variety of startups and Sun Microsystems, innovating in search and ads systems and relevance, email, secure network storage, video compression and streaming and network security. She was introduced to Deep Learning in a graduate course on Parallel and Distributed Processing her freshman year at Carnegie Mellon University, and holds a Ph.D. from Northwestern University in Neuroscience, where her thesis was in neural network modeling of human arm movement.
Casimir Wierzynski
Casimir Wierzynski is Senior Director, Office of the CTO, in the Artificial Intelligence Product Group at Intel Corporation. He leads research efforts to identify, synthesize, and incubate emerging technologies that will enable the next generation of AI systems.
Before joining Intel in 2017, Cas led research teams in neuromorphic computing, learning and AI planning, and autonomous robotics at Qualcomm. Prior to Qualcomm, Cas was a Vice President at Goldman Sachs, where he traded fixed income andcredit derivatives.
Cas received his BS and MS in electrical engineering at MIT, completing his master’s thesis at AT&T Bell Labs, and a BA in mathematics at Cambridge University as a British Marshall Scholar. Driven by his passion for AI and the brain, Cas left finance to receive his PhD at Caltech in Computation andNeural Systems, where he used large-scale neural recordings to study the relationship between memory consolidation and sleep. At Caltech he received a NDSEG Fellowship, a Beckman Fellowship, a Helen Hay Whitney Fellowship, andthe Ferguson Prize for the best doctoral thesis in biology.