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Infrastructure
Investment
Data Scientist

Author:

Gautam Hotti

Director of Generative AI
Novartis

Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.

Gautam Hotti

Director of Generative AI
Novartis

Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.

MLOps
Risk Mitigation
Data Scientist

Author:

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

Author:

Viswanatha Allugunti

UX UI Mobility Manager
Johnson and Johnson

Viswanatha Allugunti

UX UI Mobility Manager
Johnson and Johnson
Infrastructure
Investment
Business Leader
Panel

Author:

Jack Qiao

Senior Manager Data Science & AI
Lowe's Companies Inc.

Jack Qiao

Senior Manager Data Science & AI
Lowe's Companies Inc.

Author:

Linus Liang

Founder and Managing Partner
Kyber Knight Capital

Linus is the Founder and Managing Partner of Kyber Knight Capital. He brings over twenty-five years of experience in venture capital and entrepreneurship to his leadership role. Before starting Kyber Knight Capital, Linus spent a decade at Signia Ventures, where he continues as a Partner. His entrepreneurial pursuits include co-founding Embrace, the company behind the world’s most affordable infant incubator. To date, Embrace has impacted the lives of over 500,000 infants worldwide in over a dozen countries.

Before Embrace, Linus founded several software companies focusing on mobile technology and social networking. He is well known for joining Zynga’s founding team, following the acquisition of his start-up, where he served as the tenth employee.

Linus’s career also encompasses roles at major corporations, including Program Manager at Microsoft, database researcher at IBM, and a member of the investment team at Andreessen Horowitz.

Linus is a holder of a B.A. in Computer Science from U.C. Berkeley, as well as an M.S. in Computer Science, an M.A. in Education, and an MBA from Stanford University. He is a co-instructor for Stanford’s Frontier Technologies course and has previously taught a Big Data class at Stanford’s Business School.

Linus Liang

Founder and Managing Partner
Kyber Knight Capital

Linus is the Founder and Managing Partner of Kyber Knight Capital. He brings over twenty-five years of experience in venture capital and entrepreneurship to his leadership role. Before starting Kyber Knight Capital, Linus spent a decade at Signia Ventures, where he continues as a Partner. His entrepreneurial pursuits include co-founding Embrace, the company behind the world’s most affordable infant incubator. To date, Embrace has impacted the lives of over 500,000 infants worldwide in over a dozen countries.

Before Embrace, Linus founded several software companies focusing on mobile technology and social networking. He is well known for joining Zynga’s founding team, following the acquisition of his start-up, where he served as the tenth employee.

Linus’s career also encompasses roles at major corporations, including Program Manager at Microsoft, database researcher at IBM, and a member of the investment team at Andreessen Horowitz.

Linus is a holder of a B.A. in Computer Science from U.C. Berkeley, as well as an M.S. in Computer Science, an M.A. in Education, and an MBA from Stanford University. He is a co-instructor for Stanford’s Frontier Technologies course and has previously taught a Big Data class at Stanford’s Business School.

Author:

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

Jeff Winter

Senior Director of Industry Strategy, Manufacturing
Hitachi Solutions America

This session is targeted at technical leaders interested in generative AI applications. Donna and Kevin will cover business use cases leveraging generative AI, patterns for building common scenarios and best practices for implementation.

Use cases
Innovation
Business Leader

Author:

Donna Schut

Head of Technical Solutions Management, Generative AI & Large Scale ML
Google Cloud

Donna Schut

Head of Technical Solutions Management, Generative AI & Large Scale ML
Google Cloud

Author:

Kevin Tsai

Head of Technical Solution Architecture, Generative AI & ML Infrastructure
Google Cloud

Kevin currently leads a team of Solution Architects with focus on Generative AI and large-scale, accelerated infrastructure. Kevin has also led teams in Data Analytics, Data Management, and ML at Google, and has more than 20 years of experience in the technology industry

Kevin Tsai

Head of Technical Solution Architecture, Generative AI & ML Infrastructure
Google Cloud

Kevin currently leads a team of Solution Architects with focus on Generative AI and large-scale, accelerated infrastructure. Kevin has also led teams in Data Analytics, Data Management, and ML at Google, and has more than 20 years of experience in the technology industry

Model Development
Data Scientist

Author:

Jack Qiao

Senior Manager Data Science & AI
Lowe's Companies Inc.

Jack Qiao

Senior Manager Data Science & AI
Lowe's Companies Inc.

Author:

Peter Clark

Head of Computational Science & Engineering
Janssen R&D

Peter Clark, PhD is the Head of Computational Science & Engineering within the Therapeutics Discovery (TD) organization of Janssen R&D, where he leads a dynamic, interdisciplinary team of scientists focused on accelerating the research and development of protein based therapeutics through the design and implementation of disruptive computational approaches and platforms. Prior to joining Johnson & Johnson, Peter served as the Director of Bioinformatics at the University of Pennsylvania, Perelman School of Medicine, where he worked closely with academic and commercial collaborators on the design, optimization, and evaluation of various gene therapy platform technologies from early research and development through commercially partnered IND enabling clinical studies. Peter is also a clinically trained molecular pathologist (The Children’s Hospital of Philadelphia) with extensive experience in the design, validation, and implementation of diagnostic and prognostic next generation sequencing (NGS) assays within a clinical, CAP/CLIA certified laboratory setting. During his clinical molecular pathology fellowship at CHOP, Peter co-developed and commercialized the first to market, high resolution, next generation sequencing based HLA genotyping assay and was subsequently awarded the Scholar of the Year award by the American Society for Histocompatibility and Immunogenetics (ASHI) in 2015 for his contributions to the field of solid organ and bone marrow transplantation. Peter earned his B.Sc. and Ph.D. from Drexel University, School of Biomedical Engineering prior to completing a postdoctoral fellowship at The Center for Computational Medicine at Thomas Jefferson University.  Peter’s diverse expertise in computational science, engineering, clinical molecular genetics, computational biology, and translational research has led to the publication of over 30 peer-reviewed scientific publications as well as two book chapters, several issued patents and three biotechnology spin-off companies.

Peter Clark

Head of Computational Science & Engineering
Janssen R&D

Peter Clark, PhD is the Head of Computational Science & Engineering within the Therapeutics Discovery (TD) organization of Janssen R&D, where he leads a dynamic, interdisciplinary team of scientists focused on accelerating the research and development of protein based therapeutics through the design and implementation of disruptive computational approaches and platforms. Prior to joining Johnson & Johnson, Peter served as the Director of Bioinformatics at the University of Pennsylvania, Perelman School of Medicine, where he worked closely with academic and commercial collaborators on the design, optimization, and evaluation of various gene therapy platform technologies from early research and development through commercially partnered IND enabling clinical studies. Peter is also a clinically trained molecular pathologist (The Children’s Hospital of Philadelphia) with extensive experience in the design, validation, and implementation of diagnostic and prognostic next generation sequencing (NGS) assays within a clinical, CAP/CLIA certified laboratory setting. During his clinical molecular pathology fellowship at CHOP, Peter co-developed and commercialized the first to market, high resolution, next generation sequencing based HLA genotyping assay and was subsequently awarded the Scholar of the Year award by the American Society for Histocompatibility and Immunogenetics (ASHI) in 2015 for his contributions to the field of solid organ and bone marrow transplantation. Peter earned his B.Sc. and Ph.D. from Drexel University, School of Biomedical Engineering prior to completing a postdoctoral fellowship at The Center for Computational Medicine at Thomas Jefferson University.  Peter’s diverse expertise in computational science, engineering, clinical molecular genetics, computational biology, and translational research has led to the publication of over 30 peer-reviewed scientific publications as well as two book chapters, several issued patents and three biotechnology spin-off companies.