ODSC APAC Virtual Conference 2021 | September 15-16, 2021

Data Science Research Frontiers

The Most Advanced Active Research, Summarized
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Data Science Research

Rapid Pace of Advancement

Data Science is a broad field and advancing at a tremendous pace. Every few months new research, models, and advances are announced.  For data science practitioners it’s essential to keep abreast of the latest developments. However, given the demands on your time this can be a daunting task.

The Most Advanced Research, Summarized

The Data Science Research track is the first of its kind.  You don’t have to parse the contents of countless papers or attend academic conferences. Let our world-class academics, researchers, and professionals summarize the latest research across focus areas and detail what’s important.  This accelerates your understanding of the latest research and serves as a foundation for more in-depth analysis.

ODSC APAC Virtual Conference 2021 | September 15-16, 2021

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Some of Our Current Track Speakers

Head Data Science Infinite-Sum Modelling Inc.

Kavita Dwivedi

Kavita is an Analytics leader with 12 + years of core hands-on experience having an excellent track record on Presales, Partner Management, Analytics Delivery, and Team management across domains in World-Class Organizations. Currently, she is heading the Data Science function at Infinite Sum Modeling. She is a Chemical Engineer by education followed by a Masters (Eco) from IGIDR. She is a seasoned analytics professional with work experiences across companies like Fair Isaac, Experian, Accenture, Infosys, and Vodafone. Her vast experience in domains like Banking, Insurance, Telecom, Fraud, and Risk Management gives her the right kind of diversification. She has published papers in areas of Financial Econometrics and Social Media Analytics. She has been an esteemed speaker at various national seminars on Analytics. Her passion for Analytics and learning drives her to explore newer technologies and innovations in Analytics space. She is currently leading the capabilities of the firm in the areas of data science and analytics training as well as new business development in several areas that include data science, business analytics, Artificial Intelligence, Data Mining, Machine learning, blockchain, robotic process automation, econometric modeling, CGE modeling, policy/business strategy analysis, among other areas of interest to the company.

Portfolio Valuation for a Retail Bank using Monte Carlo Simulation and Forecasting for Risk Measurement(Talk)

Professor | FounderNational Institute of Informatics, Japan | Researchmap

Dr. Noriko Arai

Noriko Arai is the program director of an AI challenge, Todai Robot Project, which asks the question: Can AI get into the University of Tokyo? The project aims to visualize both the possibilities and the limitation of current AI by setting a concrete goal: a software system that can pass university entrance exams. In 2016, Todai Robot achieved the top 20 percent in the exams and passed more than 70 percent of the universities in Japan. She is also the program director of Researchmap Project to build a platform for researchers to manage their research activities. The inventor of Reading Skill Test, in 2017 Arai conducted a large-scale survey on reading skills of high and junior high school students with Japan’s Ministry of Education. The results revealed that more than half of junior high school students fail to comprehend sentences sampled from their textbooks. Arai founded the Research Institute of Science for Education to elucidate why so many students fail to read and how she can support them.

Researchmap: a Platform for Science of Science Policy(Talk)

Data ScientistGo-Jek

Gunjan Dewan

Gunjan has been working in the industry for 3+ years and has a background in Mathematics. Currently, she is working with the Fraud Team in the Gopay (Gojek) Data Science team.  She can talk about statistical models with you all day long and can’t help but notice patterns everywhere in her life. Along with her day job, she also mentors aspiring young data scientists. She currently a mentor at springboard.com for their course Data Science Career Track.

Developing a match-making Algorithm between Customers and Go-Jek Products (Talk)

Sr. Analytics ConsultantSAS India

Saptarishi Dutta

Saptarishi is Sr. Analytics Consultant, India, supporting the SAS Platform product lines. In his current role, Saptarishi works with customers to collaborate with multiple stakeholders to ideate and build product prototypes for various business demands which can become a revenue potential. He has worked with customers in Financial Services, Insurance, and Manufacturing.
Saptarishi is passionate about discussion and designing solutions in the area of Machine Learning, Deep Learning, and Data warehousing.

Value of Analytics is in Consumption – Operationalize it (Demo Talk)

Data & Information Ethicist | iSchool Research FellowUniversity of Illinois | CODATA

Theresa Anderson, PhD

As a data and information ethicist, Theresa uses creative, compassionate, and contemplative practices to help communities build better digital and data futures. Building consensus through gaining and maintaining a community’s trust and implementing good practice to advance socially-just data policies is embedded in her work. Her award-winning work as an educator and researcher engages with the ever-evolving relationship between people and emerging technologies when working with data and making decisions. A social informaticist with a Ph.D. in Information Science, she served as inaugural Director of the Master of Data Science & Innovation program at UTS from 2014-2018, leading the development of a uniquely transdisciplinary and human-centered curriculum that continues to prepare graduates for the demands of the data science fields. Now working as a freelance consultant, Theresa contributes to government, industry, and NGO efforts advancing socially-just data policies, building processes for gaining and maintaining a community’s trust in data/AI use. She recently joined the Standards Australia Data Sharing Committee (IT-027-06 and JTC 1/SC 32/WG 6). Theresa also contributes to international initiatives related to data sharing via the International Science Council’s Committee on Data and as a Sydney Ambassador for Stanford’s Women in Data Science Network.

Human-Machine Partnerships to enable Human and Planetary Flourishing(Talk)


Some of Our Previous Track Speakers

Julia Lintern
Julia Lintern

Senior Data Scientist at Metis

Karina Vold, PhD
Karina Vold, PhD

AI Researcher at University of Cambridge

Dr. John D. Kelleher
Dr. John D. Kelleher

Author and Academic Leader at Dublin Institute of Technology

Norma Padron, PhD
Norma Padron, PhD

Asst. Health Economics Professor and Assc. Dr. of Population Health Research at Thomas Jefferson University

Mason Victors
Mason Victors

VP, Data Science at Recursion Pharmaceuticals

Past Participating Labs

Active Research Focus Areas

Data science is a broad and expanding field with many areas of study. Here are some of the main areas that our presenting researchers will be addressing:

  • Neural Networks

  • Machine Learning

  • Transfer Learning

  • Machine Vision

  • Natural Language Processing

  • Predictive Analytics

  • Pattern Recognition

  • Quantitative Finance

  • Speach Recognition

  • Time Series Analysis

  • Graph Theory

  • Network Analysis

  • Data Visualization

  • Anomaly Detection

ODSC APAC Virtual Conference 2021 | September 15-16, 2021

Register Now

Why Attend

Hear from world-class researchers and academics on the top areas of active research

Take time out of your busy schedule to accelerate your knowledge on the latest advances in data science

Be the first amongst your peers to grasp changes that will affect the field in the next few years

Take advantage of and chose from another 80 talks, tutorials, and workshops at ODSC Europe

Learn from top researchers what works and what doesn’t 

Network with academics, researchers, and fellow professionals

Meet with peers and professionals looking to learn, connect, and collaborate

Get access to other focus area content including ML / DL, Data Visualization, Quant finance, and Open Data Science

Who will attend

The Data Science Research track will prove invaluable to those looking to quickly understand in detail the topics that matter most in data science now

  • Experienced data scientists

  • Students and academics

  • Software engineers and architects

  • Business professionals interested in data science advancements

  • Experts from other domains looking to leverage data science

  • Beginners interested in the latest research

  • Researchers from academia and industry

  • Industry professionals

  • Technologists interested in new data science applications

  • Industry experts looking to access the impact of data science

ODSC APAC Virtual Conference 2020 | December 8 - 9, 2020

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info@odsc.com

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