| Page 1372 | Kisaco Research
 

Rangaprasad Sarangarajan

CSO
Metabolon

Rangaprasad Sarangarajan

CSO
Metabolon

Rangaprasad Sarangarajan

CSO
Metabolon
Q&A with Dr. Sumeet Kumar, CEO, Innatera Nanosystems
 

Victoria Fu

Co-Founder
Chemist Confessions

Victoria Fu

Co-Founder
Chemist Confessions

Victoria Fu

Co-Founder
Chemist Confessions
 

Vivianna Blanch

Head of US Marketing
LOreal USA

Vivianna Blanch

Head of US Marketing
LOreal USA

Vivianna Blanch

Head of US Marketing
LOreal USA
 

Eric Clarke

Head of Sales
Labskin

Eric Clarke

Head of Sales
Labskin

Eric Clarke

Head of Sales
Labskin
 

Dan Larson

VP of Finance
Dr. Squatch

Dan Larson

VP of Finance
Dr. Squatch

Dan Larson

VP of Finance
Dr. Squatch
 

Melissa Hago

VP of Beauty & Wellness
Fashion Snoops

Melissa Hago

VP of Beauty & Wellness
Fashion Snoops

Melissa Hago

VP of Beauty & Wellness
Fashion Snoops
 

Yonatan Geifman

Co-Founder and CEO
Deci AI

Dr. Yonatan Geifman is a Co-Founder and CEO at Deci, which enables deep learning inference at scale on any hardware by an algorithmic acceleration approach. Deci has been recognized as Tech Innovator for Edge AI by Gartner and included in CB Insights’ AI 100 list. Its proprietary technology’s performance set new records at MLPerf with Intel. Before launching Deci, Yonatan was a member of Google AI’s MorphNet team. He received his PhD in Computer Science at the Technion-Israel Institute of Technology.

Yonatan Geifman

Co-Founder and CEO
Deci AI

Yonatan Geifman

Co-Founder and CEO
Deci AI

Dr. Yonatan Geifman is a Co-Founder and CEO at Deci, which enables deep learning inference at scale on any hardware by an algorithmic acceleration approach. Deci has been recognized as Tech Innovator for Edge AI by Gartner and included in CB Insights’ AI 100 list. Its proprietary technology’s performance set new records at MLPerf with Intel. Before launching Deci, Yonatan was a member of Google AI’s MorphNet team. He received his PhD in Computer Science at the Technion-Israel Institute of Technology. His research focused on making Deep Neural Networks (DNNs) more applicable for mission-critical tasks. It has been published and presented at leading global conferences including the Conference on Neural Information Processing Systems (NeurIPS) and International Conference on Machine Learning (ICML).