| Page 36 | Kisaco Research

Marissa Alkhazov, Shareholder, Buchalter

"Engaging with an industry that you're working in and having boots on the ground is very important for me. I love learning about my clients and their pathways."

Jon Ricketts, Founder & CEO, EKOM.AI

"This is a place where we get to interact and hear directly from the voices of our customers, and engage with future partners and customers." - Jon Ricketts, Founder & CEO, EKOM.AI

Jon Ricketts, Founder & CEO, EKOM.AI

"This is a place where we get to interact and hear directly from the voices of our customers, and engage with future partners and customers."

Julian Reis, CEO & Founder, Superordinary

"Beauty Connect does an amazing job at recruiting, inspiring, and bringing people together"

 

Lauren Uhlig

Partner
Williams & Connolly

Lauren Uhlig

Partner
Williams & Connolly

Lauren Uhlig

Partner
Williams & Connolly
 

Miro Hodak

Senior Member of Technical Staff, AI Performance Engineering
AMD

Miro Hodak is a Principal Member of Technical Staff at AMD, where he focuses on AI performance and benchmarking. Prior to joining AMD, he served as an AI Architect at Lenovo and was a professor in physics at North Carolina State University before that. 

Miro has been actively involved with MLPerf and MLCommons since 2020, contributing to the development of multiple MLPerf benchmarks and submitting results across several rounds of Inference and Training. Since 2023, he has served as co-chair of the MLPerf Inference Working Group.

Read full bio

Miro Hodak

Senior Member of Technical Staff, AI Performance Engineering
AMD

Miro Hodak

Senior Member of Technical Staff, AI Performance Engineering
AMD

Miro Hodak is a Principal Member of Technical Staff at AMD, where he focuses on AI performance and benchmarking. Prior to joining AMD, he served as an AI Architect at Lenovo and was a professor in physics at North Carolina State University before that. 

Miro has been actively involved with MLPerf and MLCommons since 2020, contributing to the development of multiple MLPerf benchmarks and submitting results across several rounds of Inference and Training. Since 2023, he has served as co-chair of the MLPerf Inference Working Group.

He has authored peer-reviewed publications in fields ranging from artificial intelligence and computer science to materials science, physics, and biochemistry, with his work cited over 2,500 times.