Bujuanes Livermore

Bujuanes Livermore is the Head of Research and Design in Data, Intelligence, and Design in Commercial Software Engineering (CSE) at Microsoft and she leads the Worldwide Community for Design & Experience. CSE is a global engineering organization that works directly with the largest companies and not-for-profits in the world to tackle their most significant technical challenges. Bringing human-centered design to the forefront and creating a more harmonious balance between the technical and the human drives her work. She is keenly interested in the influences and effects of digital and augmented environments, the human experience of service and product design, and challenging traditional business models and service offerings.

Responsible AI Starts with Responsible Design(Talk)

Mária Kieferová, PhD

Maria Kieferova (Marika) is a Sydney Quantum Academy fellow, a Lecturer at the University of Technology Sydney (UTS) and a member of Google Quantum AI. She has over ten years of experience working on quantum algorithms, starting from her undergraduate studies at Comenius University in Slovakia. She obtained her PhD from The Institute for Quantum Computing, University of Waterloo, and Macquarie University. Her thesis was awarded the Person medal and IQC Achievement Award. Throughout her studies, she undertook internships at Microsoft Research and Zapata Computing. At UTS, Marika is exploring the boundary between quantum and classical algorithms for machine learning. She is also affiliated with the ARC Centre of Excellence for Quantum Computation and Communication Technology and serves on the editorial board of the IOP journal Quantum Science and Technology.

Chip Kent

Chip Kent is the chief data scientist at Deephaven Data Labs. He holds a Ph.D. from CalTech, with decades of quantitative, mathematical, and computer science experience. Chip comes from a background in quantitative private investment, using data to make investments at Walleye Capital.

Real-time Data Science Made Easy(Talk)

Thilaksha Silva, PhD

Thilaksha Silva has obtained a Doctor of Philosophy (PhD) in Statistics from Monash University, Australia. Thilaksha is skilled in data science for electricity distribution, statistics, time series forecasting, predictive modelling and big data analytics. She is adept at advanced data analytics with 10+ years of experience and has mastered in communicating the business value across the business and engaging audience with data science on a deeper level.

Data Science in a Data Driven Energy Organisation(Talk)

Sudeep George

Sudeep George is the Vice President of Engineering at iMerit, where he develops production-ready frameworks for a data-centric approach to machine learning. He has a strong background in imaging sensors, computer vision and has built and manufactured multi-sensor computational imaging platforms for several market verticals.

Annotated Data: The Bedrock of Successful AI Deployments(Talk)

Raymond Reed

Ray is a Customer Success Data Scientist at WhyLabs, the AI Observability company. He has a long held passion for machine learning and loves helping customers save time and money by monitoring their ML systems at scale. Ray was formerly a Senior Success Engineer at Datorama, a Salesforce Company, where he drove success for large enterprise customers with a focus on improving query performance across the company. With his spare time, Ray enjoys hiking, music, and more hiking.

Monitoring CV Systems: A Unique Solution to a Unique Problem(Talk)

Aditya Bhattacharya

Aditya Bhattacharya is an Explainable AI Researcher at KU Leuven with an overall experience of 7 years in Data Science, Machine Learning, IoT & Software Engineering. Prior to his current role, Aditya has worked in various roles in organizations like West Pharma, Microsoft & Intel to democratize AI adoption for industrial solutions. As the AI Lead at West Pharma, he had contributed to forming the AI Centre of Excellence, managing & leading a global team of 10+ members focused on building AI products. He also holds a Master’s degree from Georgia Tech in Computer Science with ML and a Bachelor’s degree from VIT University in ECE. Aditya is passionate about bringing AI closer to end- users through his various initiatives for the AI community. He has also authored a book “Applied Machine Learning Explainability Techniques”

Explainable Machine Learning – A Human Centric Perspective(Talk)

Sushant Burnawal

Sushant has a bachelor’s in Materials Engineering from the Indian Institute of Technology, Kharagpur. He has extensive work experience in Reinforcement Learning, Computer Vision with AR technologies and created end-to-end pipelines and data products from conceptualisation to deployment phase for various engagements. He is currently working as a Senior Data Scientist at Publicis Sapient.

Route Optimization using Reinforcement Learning and Metaheuristics (Workshop)

Deepak NagarajeGowda

Bio Coming Soon!

Using Augmented Reality, Machine Vision & Deep Learning for Solving Supply Chain Problems(Talk)

Prerna Daga

Prerna leads Business Development for Data Science at HP India. Prior to joining HP, she worked in IT industry for almost 9 years and has multi-disciplinary experience cutting across business development and data science & analytics. She has an MBA from SPJIMR, Mumbai and BTech in Computer Science.

Data Science Innovation with Z by HP Workstations, Remote Collaboration and Software Stack(Talk)