Model Development
Data Scientist
Color:
#1d3459
Bias in AI systems can lead to harmful outcomes. We investigate methods to increase model transparency and explainability in order to detect, understand, and mitigate risks from bias. Techniques like saliency maps, attention mechanisms, and adversarial testing can shed light on model behavior. Improving model transparency and reducing bias is key to developing safer, more trustworthy AI.
Risk Mitigation
Model Development
Data Scientist
Jon Bennion
Machine Learning Engineer and LLMOps
FOX
Data
MLOps
Data Scientist
Jürgen Weichenberger
VP of AI Strategy & Innovation
Schneider Electric
Julius Lo
Director
NEUCHIPS
Julius is a Director of NEUCHIPS, an AI ASIC startup for recommendation inferencing. Julius leads NEUCHIPS software team, covering server integration to on-board firmware. Before NEUCHIPS, Julius worked for Global Unchip Corp., hTC and Mediatek, devoting himself to RTL circuit design, Linux device drivers and performance optimization with power balancing in 20+ chips. He is an author of 6+ international patents in the areas of scheduling and data compression.
Rashmi Gopinath
General Partner
B Capital
Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.
Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.
Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.
Data
Ethics
Data Scientist
Stavros Zervoudakis
Professor at NYU, and VP of AI
Mutual of America
With over two decades of experience, Stavros Zervoudakis has established himself as a forward-thinking AI leader, sculpting the future with innovative solutions. He boasts an impressive track record, having orchestrated the successful launch of 24 AI initiatives in just three years, including the implementation of a comprehensive Data Science, Analytics, and Machine Learning framework. His work has catalyzed monumental gains, with single projects injecting between $12M and $56M in value. Recently, Stavros has architected and deployed a groundbreaking, modular Generative AI platform, enriching the digital ecosystem with four pioneering GenAI products seamlessly integrated across six input/output systems. At the helm of his company's AI voyage, he not only crafted the strategic blueprint but also executed the firm's inaugural AI/ML model in a mere three months, netting an impressive $450K in savings. A natural leader, Stavros has guided teams towards the creation of business-transforming applications, leveraging the latest in technology through agile, SME-centric project methodologies. His tenure as an academic luminary at NYU and the University of Exeter has allowed him to disseminate his profound AI insights, nurturing the next wave of innovation. His journey with agile startups and industry titans like Citigroup, led him to deep-rooted understanding of regulatory mandates and has empowered him to weave essential privacy and security measures into his strategic visions, product leadership, and advisory roles, benefiting startups and Fortune 500 firms. Beyond the digital realm, Stavros is a connoisseur of photography, an avid reader, a globetrotter, and a passionate creator of a future Einstein. Connect with him on LinkedIn to explore common interests.
Melissa Harup
SVP and Chief Counsel
Mondelez International
John Almasan
Senior Managing Director, Head of AI & Emerging Tech
TIAA
Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale data, AI, and cloud platforms for prominent companies such as TIAA, McKinsey & Co., American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption.
As an adjunct professor at various universities and a member of Arizona State University's Executive Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field.
John holds two master's degrees in Engineering and Statistics, a Doctor of Business Administration, and has over 20+ patents credited to his name. He has received several awards throughout his career for his contributions to the technology industry.
Infrastructure
Investment
Data Scientist
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
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.
Viswanatha Allugunti
UX UI Mobility Manager
Johnson and Johnson
Innovation
Regulation
Data Scientist
Marc Paradis
Vice President of Data Strategy
Northwell Holdings
Model Development
Data Scientist
Jack Qiao
Senior Manager Data Science & AI
Lowe's Companies Inc.
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.