We are adding speakers and instructors daily to bring the best possible program of top data scientists and instructors.
We are adding speakers and instructors daily to bring the best possible program of top data scientists and instructors.
Alex has 17+ years’ experience developed across a number of industries and domains, including Federal and State government, Insurance, Asset Management, Banking (Investment and Retail), Consulting, and Academia. He has expertise in leveraging Data Science/AI to deliver impact and change, by developing and managing high-performance teams, and via strategic advisory and technical expertise. Alex has recently been recognized as one of the Top 10 Analytics Leaders in Australia by IAPA (Institute of Analytics Professionals of Australia).
You can follow Alex on Twitter (@DrAlexAntic) or his blog (https://impartiallyderivative.com).
Dr Denis Bauer is an internationally recognised expert in artificial intelligence, who is passionate about improving health by understanding the secrets in our genome using cloud-computing technology. She is CSIRO’s Principal Research Scientist in transformational bioinformatics and adjunct associate professor at Macquarie University. She keynotes international IT, LifeScience and Medical conferences and is an AWS Data Hero, determined to bridge the gap between academe and industry. To date, she has attracted more than $31M to further health research and digital applications. Her achievements include developing open-source bioinformatics software to detect new disease genes and developing computational tools to track, monitor and diagnose emerging diseases, such as COVID-19.
Ben Taylor has over 17 years of machine-learning experience. After studying chemical engineering, Taylor joined Intel and Micron and worked in their photolithography, process control, and yield prediction groups. Pursuing his love for high-performance computing (HPC) and predictive modeling, Taylor joined an artificial intelligence hedge fund (AIQ) as their HPC/AI expert and built out models using a 600 GPU cluster to predict stock movements based on the news. Taylor then joined a young HR startup called HireVue. Taylor built out their data science group, filed 7 patents, and helped to launch HireVue’s AI insights product using video/audio from candidate interviews. That work allowed Taylor’s team of PhD physicists to help pioneer anti-bias mitigation strategies for AI. In 2017 Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise. Zeff was acquired by DataRobot in 2020 where Taylor now works as their Chief AI Evangelist.
Dr. Shailesh Kumar is currently the Chief Data Scientist at the Centre of Excellence in AI/ML, Reliance Jio. Prior to this he worked as a Distinguished Scientist at Ola cabs, Chief Scientist and Co-founder of Third Leap, an EdTech startup, Researcher in the Google Brain team, Sr. Scientist at Yahoo! Labs, and Principal Scientist at Fair Isaac Research.
Dr. Kumar has 18 years of experience in building AI solutions in a variety of domains including Web, Retail, Finance, Remote Sensing, Fleet Management, Computer Vision, Knowledge Graph, and Conversational computing. He has published over 20 international papers and book chapters and holds more than 20 patents in AI/ML. He was recognized as one of the top 10 data scientists in India in 2015 by Analytics India Magazine. Dr. Kumar holds a Masters and Ph.D. in AI from UT-Austin and B.Tech. in Computer Science from IIT-Varanasi.
Professor Karin Verspoor is Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia and a Fellow of the Australasian Institute of Digital Health. Karin’s research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction information from clinical texts and the biomedical literature and machine learning-based modelling. In addition to roles in academia and government research facilities in the US and Australia, Karin spent 5 years in technology start-ups developing AI and NLP systems.
Dr. Nathan’s accomplishments resulted in him being named as one of Australia’s Most Innovative Engineers by Engineers Australia & as one of Australia’s and the US’ Top Ten Young Scientists by Popular Science magazine, along with receiving a number of other international awards and recognitions. Dr. Nathan is the Founder | CTO at Presien – cutting edge AI vision systems, a Special Advisor for Robotics | Ventures at one of the world’s larger private construction companies, a Director of the Robotics Australia Group peak body & sit on the Advisory Board of Queensland Robotics. He is an active academic researcher in robotics as an Honorary Professor at the Ohio State University. Previously he has served multiple academic appointments at Stanford University and the University of Technology Sydney. Dr. Nathan’s speciality is uncovering and imagining opportunities for emergent future technologies in the real world and forging viable R&D to Delivery pathways to their realisation. One of his multi-award winning portfolio projects – Blindsight by Presien (formerly Toolbox Spotter) AI computer vision for heavy industries – recently evolved into a $7m VC funded spinoff. He has over 15+ years in industry, and 10+ years in academia, initiating, shaping, driving and leading cutting-edge, research driven disruptive innovation.
Jianshu is Head of Federated Learning at AI Singapore where he leads the team to develop a platform to support Federated Learning, a new paradigm of privacy-preserving Machine Learning. As a national initiative, AISG brings together the strength of AI research bodies in Singapore’s Autonomous Universities and research institutes, together with the vibrant ecosystem of AI start-ups and companies developing AI products, to perform use-inspired research, create innovative AI solutions, and develop the talent to power Singapore’s AI efforts.
Jianshu has many years of AI/Data Science research and consulting experience. In recent years, he has spent most of his time in putting AI/ML into real-world usage and promoting ethical aspects of AI/ML, e.g. explainability, fairness, robustness, and privacy-preserving AI/ML models. Before joining AISG, he was the Head of Insights and Modelling of a leading global reinsurer where he led his team to deliver a number of significant data science projects for their key clients in the Asia Pacific region. Jianshu obtained his Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore in 2008.
Angela is an AI Professional specialized in Ethics, Explainability, Diversity & Inclusion in AI and recipient of Top 10 Analytics Leaders 2020 From Institute of Analytics Professional Australia and also sits on the Founding Editorial Board of Springer’s new & timely AI and Ethics Journal.
Angela has been working with Insurance Australia Group, Macquarie Group, Microsoft, and Salesforce to provide AI outreach programs for high schools and also Technology Literacy programs for USYD, UNSW, UTS, and Macquarie University Business female students for 100 Girls 100 Futures Workshop.
In 2018, Angela and her team won the Data Science & AI National Industry Innovation Awards for “Best Industry Application of AI for AI & Data-driven Underwriting Engine” through a collaborative ANZ Wealth (Zurich Insurance) & the University of Technology of Sydney project. Angela works with STEM class in high school, Women in Business in major universities in Sydney, and Women in technology at Macquarie Group to promote Diversity and Inclusion in technology and Ethics, Fairness and Responsibility in AI.
Seng-Beng Ho has 9+ years (2009-now) as a Senior Scientist at Temasek Lab, National University of S’pore, and at AI Program & IHPC, A*STAR, S’pore. Initiated project to create a general AI machine learning system with human-like rapid learning ability.
Designed and implemented, with a team of researchers, a Behavior and Intention Understanding System which learns analyzes, and predicts agents’ behavior from video. Led a team that implemented reinforcement learning for a commercial air-combat simulator – the CAE STRIVE-CGF System.
Tim Baldwin is a Melbourne Laureate Professor in the School of Computing and
Information Systems, The University of Melbourne, and also Director of the ARC
Centre for Cognitive Computing in Medical Technologies and Vice President of
the Association for Computational Linguistics. His primary research focus is
on natural language processing (NLP), including social media analytics, deep
learning, and computational social science.
Tim completed a BSc(CS/Maths) and BA(Linguistics/Japanese) at The University
of Melbourne in 1995, and an MEng(CS) and PhD(CS) at the Tokyo Institute of
Technology in 1998 and 2001, respectively. Prior to joining The University of
Melbourne in 2004, he was a Senior Research Engineer at the Center for the
Study of Language and Information, Stanford University (2001-2004). His
research has been funded by organisations including the Australia Research
Council, Google, Microsoft, Xerox, ByteDance, SEEK, NTT, and Fujitsu, and has
been featured in MIT Tech Review, IEEE Spectrum, The Times, ABC News, The
Age/SMH, Australian Financial Review, and The Australian. He is the author of
well over 400 peer-reviewed publications across diverse topics in natural
language processing and AI, with over 16,000 citations and an h-index of 60
(Google Scholar), in addition to being an IBM Fellow, ARC Future Fellow, and
the recipient of a number of best paper awards at top conferences.
Prof Carol Anne Hargreaves is a results-oriented Director of the Data Analytics Consulting Centre at the National University of Singapore (NUS) and holds a joint position as an associate professor in the Department of Statistics & Applied Probability and the Department of Mathematics. She is also the Co-Chair for the Data Science & Analytics Programme. Prof Carol has extensive experience in leading teams of analysts to solve multidisciplinary real-world data science problems. She developed and took charge of multiple innovative projects in the Pharmaceutical, Healthcare, Telecommunications, and Fast-Moving Consumer Goods (FMCG) Industry.
Her research area includes Artificial Intelligence & Machine Learning Applications in Healthcare and the Financial Industry. She is a Member of the Data Literacy Programme Committee at the National University of Singapore. Prof Carol Hargreaves is a Keynote Conference Speaker, Program Committee Member, and an Editorial Board Member for many international and local conferences.
Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve the quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning a strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies, and universities.
Aditya is a tech enthusiast with more than 7 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has completed his Masters in Data Science from the National University of Singapore. He has worked across various domains including automotive, banking, retail among others consulting various clients around the globe. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards technology, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building solutions in Data Science and AI and educating students and professionals in the same areas. He also founded Code for India which specializes in delivering top notch skills in Data Science and AI as required in the
industry today. Apart from work, he loves to engage with kids and get involved in social work.
Rowel Atienza is a Professor and Scientist at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Dr. Atienza is the author of Advanced Deep Learning with TensorFlow 2 and Keras. His current research work focuses on robotics, computer vision and AI.
Reza Shokri is an NUS Presidential Young Professor of Computer Science. His research focuses on data privacy and trustworthy machine learning. He is a recipient of the IEEE Security and Privacy (S&P) Test-of-Time Award 2021, for his paper on quantifying location privacy. He received the Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies in 2018, for his work on analyzing the privacy risks of machine learning models. He also received the NUS Early Career Research Award 2019, VMWare Early Career Faculty Award 2021, and Intel Faculty Research Award (Private AI Collaborative Research Institute) 2021. He obtained his Ph.D. from EPFL.
Dr. Michael Brand is the Head and Founder of Otzma Analytics, a Data Science consultancy dedicated to maximizing clients’ value from data by providing analytics upskilling, project review, and executive mentoring. Before founding Otzma in 2018, Dr. Brand served as Chief Data Scientist at Telstra, as Senior Principal Data Scientist at Pivotal, as Chief Scientist at Verint Systems, and as CTO Group Algorithm Leader at PrimeSense (where he worked on developing the Xbox Kinect). Dr. Brand also served as Director of the Monash Centre for Data Science in his role as Associate Professor for Data Science and AI at Monash University, where he remains an adjunct. Dr. Brand holds a Ph.D. in IT from Monash University, an MSc in Applied Mathematics from the Weizmann Institute of Science, and a BSc in Engineering from Tel-Aviv University. He has made industry-defining contributions that have earned him 18 patents (more pending), garnered many prestigious industry and academic awards, and power flagship products for the companies he worked with.
Manprit leads Data and AI offerings and engagements at Avanade. He specialises in helping enterprises in their journey to monetise their data with AI. By adopting a multi-disciplinary, highly collaborative and interactive approach to discover, define and drive rapid value realization he sets up a longer team vision and roadmap for his clients. This helps them realize the business relevance and reality of AI. He then helps build minimum loveable prototypes for them that demonstrate quantitative benefits.
Andi Sulasikin is a Senior/Lead Data Scientist at Jakarta Smart City. Andi has received his bachelor’s degree in Informatics Engineering from Telkom University, Bandung. Then, Andi has accomplished his degree as Master of Science in Information science at Radboud University Nijmegen with an Indonesia Endowment Fund for Education Scholarship (LPDP). Andi even has participated in Summer School Technologies for Future Cities at University College London (UCL), UK with a scholarship from the European Institute of Innovation & Technology (EIT). Prior to Jakarta Smart City, Andi has worked at a Telecommunication Company, Fintech Start-Up, IT Solution Provider Company, and as a data expert for One Data Indonesia at the Ministry of National Development Planning / BAPPENAS.
Andi has a huge passion in Data Science and Smart City, especially how data, machine learning, and digital technology can help in making decisions and bring efficiency in the use of resources, as well as to improve the quality of people’s lives.
Ralph Vincent Regalado is Senti AI’s CEO and a Google Developer Expert for Machine Learning and the 2020 PCCI-Injap-Sia Outstanding Young Entrepreneur in Service Awardee He began dabbling in the startup scene when he joined Ideaspace’s StartUp Weekend Manila. Ralph pitched the concept of an AI-backed analytics software that was able to understand Filipino languages and ended up winning. To date, he leads Senti AI, the pioneering Artificial Intelligence company in the Philippines that is focused on creating customer-centric AI solutions for BPOs, telcom, media, government, research, and more. His company’s mission is to empower humans and organizations to efficiently work with AI. Ralph has represented Senti AI and the Philippines in other countries including Hong Kong, Korea, Taiwan, Singapore, Indonesia, Malaysia, and Poland. Before innovating the Artificial Intelligence scene in the Philippines, Ralph fulfilled his first passion: teaching. Ralph was a former Assistant Professor at De La Salle University where he taught mobile, web development, and technopreneurship courses. Continuing his passion for education, Ralph now also travels around the world conducting Machine Learning bootcamps on behalf of Google to address the lack of talent in and awareness about Artificial Intelligence.
Mathangi is a renowned data science leader in India. She has 11 Patent grants and 20+ patents published in the area of intuitive customer experience, indoor positioning and user profiles. She has recently published a book – “Practical Natural Language Processing with Python” She has 17+ years of proven track record in building world-class data sciences solutions and products. She is adept in machine learning, text mining, NLP technologies & tools. She is currently heading the data organization of GoFood, Gojek. In the past, she has built data sciences teams across large organizations like Citibank, HSBC, GE, and tech startups like 247.ai, PhonePe. She advises start-ups, enterprises, and venture capitalists on Data Science strategy and roadmap. She is an active contributor on machine learning to many premier institutes in India. She is recognized as one of “The Phenomenal SHE” by Indian National Bar Association in 2019.
Dr. Lau Cher Han is a chief data scientist and keynote speaker in data science and A.I for major companies, organisations, and government agencies across Australia, Malaysia, Taiwan and other ASEAN countries.
He has trained and advised many of the organisations including Intel, Standard Chartered, and IBM. He is also keynote speaker in data science conferences for Microsoft, Facebook and Google. As the CEO of LEAD, Dr. Lau’s current focus is on helping clients to grow their data science teams and to gain insights by combining structured and unstructured data. He helps the clients on implementing data analytics and big data strategies, and preparing for the future big data economy.
Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science and machine learning in Python. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He also has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open source software, both for individuals and the enterprise.
Ravi has professional experience of eight years in AI and ML at scale with expertise in building enterprise solutions and ML Engineering. He is part of the Centre of Excellence and responsible for building ML products from inception to production. He has worked on multiple engagements with clients mainly from Automobile and Retail industry across geographies.
He holds a bachelor’s degree in Computer Science with a proficiency course in Reinforcement Learning from Indian Institute of Science. He is a certified Google Cloud Architect and Kubeflow contributor.
Adam is the CTO of Konduit. Before this, Adam was the cofounder of Skymind. Adam has been using open and producing open source software since 2010 and has been developing machine learning systems since 2012. Adam is a published author and speaker on the field of deep learning on topics ranging from deployment of Production Machine Learning Systems to NLP. Adam grew up in Michigan in the US, spent a few years in Silicon Valley and now resides in Tokyo, Japan.
Raghav Bali is a Senior Data Scientist at Optum(United HealthGroup), one of the world’s largest health care organizations. With about a decade’s experience working across Fortune 500 organizations such as Intel and American Express, his work involves research & development of enterprise-level solutions based on Machine Learning, Deep Learning, and Natural Language Processing for real-world use-cases. Raghav has published multiple peer-reviewed papers, has authored over 7 books, and is a co-inventor of multiple patents in the areas of machine learning, deep learning, and natural language processing.
Jonathan Chang is the founder and CEO of Silverpond, a machine learning and artificial intelligence company in Australia. Jonathan leads a multi-disciplinary team of data scientists, machine learning engineers, designers and project managers who developed HighLighter, an AI platform that brings machine learning and artificial intelligence technology to industries such as media, energy, asset management, retail, and healthcare. He’s passionate about how AI will transform society; you can find him speaking at events and conferences, or working with local industry groups and government on responsibly and effectively applying this technology.
Aditya Kanade is an Associate Professor at the Department of Computer Science and Automation of the Indian Institute of Science. He completed his PhD at IIT Bombay and post-doc at the University of Pennsylvania. His research interests span machine learning, software engineering and automated reasoning. He has received an ACM best paper award, a teaching excellence award, and faculty awards from IBM, Microsoft Research India and the Mozilla Foundation. He has been a Visiting Researcher at General Motors Research, Microsoft Research and most recently, at Google Brain. He is particularly excited about the prospect of developing machine learning techniques to automate software engineering, and designing trustworthy and deployable machine learning systems.
Session on Advances in Machine Learning for Software Engineering Coming Soon!
Andrew has international expertise in the areas of machine learning, statistical analysis, cloud computing and AI. He is founding member of the boutique data science consulting firm Datamahi and sports industry specialists Media Rights Value.
Session on ML and Its Applications Coming Soon!