Engineering for Research Symposium

Third Edition |10-11 October 2020

Technology has played a major role in scientific breakthroughs, and in recent years artificial intelligence is taking it a step further and raising the bar of scientific research. Are we on course of empowering AI to make scientific discoveries worthy of a Nobel Prize? This year's Engineering for Research (E4R) Symposium will see thought leaders share their vision and insight into the theme "Towards the Logic of Scientific Discovery: Will AI ever win a Nobel Prize?"

Engineering for Research (E4R) is an initiative founded by ThoughtWorks to collaborate with research organizations in understanding and solving challenges in the fields of astronomy, biology, epidemiology and robotics. We share our knowledge with the larger community through scholarly publications and creating, and contributing to open source software frameworks.

ThoughtWorks E4R Symposium is our annual forum where luminaries, academicians, scientists and engineers come together to discuss the role of computer science in accelerating scientific exploration. Following COVID-19's safety precautions, this will be our first virtually held symposium.

Towards the Logic of Scientific Discovery

Will AI ever win a Nobel Prize?

Join our online sessions | 10-11th October 2020

Scientific discovery process governs how scientists and engineers discover the laws of nature, new materials, and new medicines. Traditionally, these discoveries were made by humans. Now, there is a growing community of scientists and engineers who believe machines can autonomously make discoveries in future. Dr. Ross D. King has demonstrated this possibility with his Adam and Eve Robot Scientists.

In recent years, machine learning and artificial intelligence have disrupted the computing landscape including scientific discovery. To quote Dr. Hiroaki Kitano, “AI systems can transform scientific discoveries into highly efficient practices, thereby enabling us to expand our knowledge in unprecedented ways. Such systems may out-compute all possible hypotheses and may redefine the nature of scientific intuition, hence the scientific discovery process.” He and Dr. King have joined hands with many other experts across scientific disciplines to propose the Turing-Nobel Grand Challenge 2050, where AI should earn a Nobel prize of its own. Hear our esteemed speakers share their perspectives on the topic in this year's edition of E4R Symposium.

Day One: 10th October| 3.00pm - 7.30pm IST


(All timings are in India Standard Time, UTC+5.30)

3.00pm - 3.10pm


3.15pm - 3.50pm

Automating Science using Robot Scientists

Dr. Ross King, Chalmers University of Technology, Sweden

3.55pm - 4.30pm

Accelerated Discovery to Knowledge using Machine Learning

Dr. Abhishek Singh, IISc, India

4.30pm - 4.40pm


4.40pm - 5.15pm

Mind redesign: A cognitive science view of models, modeling and machine learning

Dr. Sanjay Chandrasekharan, TIFR-HBCSE, India

5.20pm - 5.55pm

Quantum Technologies: Quantum Computing and Secure Quantum Communication

Dr. Urbasi Sinha, Raman Research Institute, India

5.55pm - 6.10pm


6.10pm - 6.45pm

Two defeasible challenges for algorithmic scientific discovery

Dr. Benjamin Jantzen, Virginia Tech, USA

6.50pm - 7.25pm

Panel Discussion: Scientific Discovery & AI

7.25pm - 7.30pm

Setting context for Day Two

Day Two : 11 October | 3.00pm - 7.30pm IST


(All timings are in India Standard Time, UTC+5.30)

3.00pm - 3.10pm

Recap of Day One

3.15pm - 3.50pm

AI Nobel Laureates

Dr. Hiroaki Kitano, Systems Biology Institute, Japan

3.55pm - 4.30pm

Computational Creativity

Dr. Vikram Jamwal, TCS Research, India

4.30pm - 4.40pm


4.45pm - 5.20pm

AI and Human Decision Making

Dr. Mary-Anne Williams, University of Technology, Sydney, Australia

5.25pm - 6.00pm


6.00pm - 6.10pm


6.10pm - 6.45pm


6.50pm - 7.45pm

AI-driven Scientific Discovery

Panel Discussion

7.25pm - 7.30pm

Vote of Thanks

ThoughtWorks E4R Team

Meet your Speakers

(Watch this space for the updated list)

Ross D. King

Ross D. King

Turing Fellow, The Alan Turing Institute, UK;

Professor, Department of Biology and Biological Engineering, Chalmers University of Technology, Sweden;

Director of Research, Department of Chemical Engineering and Biotechnology, University of Cambridge, UK

King is one of the most experienced machine learning researchers in Europe. His main research interest is the interface between computer science and science. He originated the idea of a ‘Robot Scientist’: integrating AI and laboratory robotics to physically implement closed-loop scientific discovery.
His Robot Scientist ‘Adam’ was the first machine to autonomously discover scientific knowledge. HisRobot Scientist ‘Eve’ is currently searching for drugs against neglected tropical diseases, and cancer. This research has been published in top scientific journals, Science, Nature, etc. and has received wide publicity. His other core research interest is DNA computing. He developed the first nondeterministic universal Turing machine, and is now working on ‘DNA supremacy’: a DNA computer that can solve larger NP-complete problems that conventional or quantum computers cannot. He is also very interested in computational economics and aesthetics.
Dr. Hiroaki Kitano

Dr. Hiroaki Kitano

Head, Systems Biology Institute;

President & CEO, Sony Computer Science Laboratories, Japan

Dr. Kitano received a PhD in computer science from Kyoto University in 1991 for the thesis in machine translation titled "Speech-to-speech translation: a massively parallel memory-based approach". His work includes a broad spectrum of publications on artificial intelligence and interactomics.
Kitano is known for developing AIBO, the robotic pet, and the robotic world cup tournament known as Robocup. He has served as a scientific advisor for a number of companies, including Alstom, Segway Japan and Mitsubishi Chemical Holdings. He was awarded the IJCAI Computers and Thought Award in 1993 and the Nature Award for Creative Mentoring in Science in 2009.
Dr. Mary Anne Williams

Dr. Mary Anne Williams

Distinguished Research Professor, School of Computer Science;

Core Member, Joint Research Centre in Intelligent Systems Membership;

Associate Member, AAI - Advanced Analytics Institute;

Core Member, AAII - Australian Artificial Intelligence Institute

Dr. Williams has a PhD in Computer Science (University of Sydney) and a Master in Laws (University of Edinburgh). She is a leading authority on Data Science and AI with transdisciplinary strengths in Strategic Management, Disruptive Innovation, Entrepreneurship, Computer Science, Autonomous Decision Making, Machine Learning, Robotics, Ethics, IP Law, and Privacy Law.

She has a passion for digital transformation. She established the Innovation and Enterprise Research Lab (aka The Magic Lab) in 2002, which actively engages with researchers and students in the Magic Lab. The research objective of this group is to bring science fiction to reality through the design of intelligent autonomous technologies that can learn and adapt as they interact and work with people.
Dr. Williams is currently working with the United Nations on the impact of AI on Human Rights, Sustainable Development, and Peaces & Security.
Dr. Urbasi Sinha

Dr. Urbasi Sinha

Professor, Raman Research Institute, Bengaluru, India

Dr. Sinha is a faculty member in the Light and Atomic Matter Physics group (LAMP) and now heading the Quantum Information and Computing (QuIC) laboratory at RRI.

The lab specializes in experiments on photonic quantum information processing including quantum computing and quantum communication, primarily using single and entangled photons. She is heading India’s first project on satellite based secure quantum communications (Quantum Experiments using Satellite Technology).

In recognition of her scientific achievements as well as outreach activities, Dr. Sinha was awarded the Homi Bhabha Fellowship in the year 2017 and has been named the recipient of the 2018 ICTP- ICO Gallieno Denardo Award in Optics. She was recently recognised as one of Asia’s Top 100 scientists by the Asian Scientist for the year 2019 and has been awarded the Simon’s Emmy Noether Fellowship at the Perimeter Institute, Canada. In August 2020, shed led the Indian team which won the BRICS Future Skills Challenge on Quantum Technologies 2020, which is a part of the World Skills Competition with competitors from several countries worldwide.
Dr. Benjamin Jantzen

Dr. Benjamin Jantzen

Associate Professor, Virginia Tech, USA

Dr. Jantzen is an Associate Prof. of Philosophy and of Computer Science (by courtesy). His work is focused primarily on the logic of discovery, specifically the development of algorithms for recognizing similarity between unknown causal structures, the automated identification of novel scientifically salient variables, and applications of these methods to problems of change detection, model validation, and fully automated scientific discovery.

Dr. Jantzen worked in biophysics and fluid dynamics before turning to philosophy, and his work is highly interdisciplinary. Additional research interests include non-representational AI in robotics, the nature, development, and semantics of the number concept and its role in interpretations of quantum mechanics, and design arguments in the philosophy of religion.
Dr. Sanjay Chandrashekharan

Dr. Sanjay Chandrashekaran

Associate Professor, Homi Bhabha Centre for Science Education (HBCSE), Tata Institute of Fundamental Research, Mumbai;

Adjunct faculty member, Interdisciplinary Program in Educational Technology, Indian Institute of Technology, Bombay

Dr. Chandrashekaran leads the Learning Sciences Research (LSR) Group at HBCSE. The group’s work draws on recent theories of cognition to build and test novel computational media for learning science, technology and mathematics. These design studies seek to contribute to the development of new approaches to learning and discovery, as well as novel theoretical models of higher order cognition.
He has been published widely in the areas of distributed and embodied cognition, as well as new computational media for learning and discovery. He is an Associate Editor of thejournal IEEE Transactions on Learning Technologies.
Prof. Abhishek Kumar Singh

Prof. Abhishek Kumar Singh

Associate Professor, Indian Institute of Science, Bengaluru, India

Prof. Singh leads the Materials Informatics Initiative of IISc (MI3). The group designs materials for target applications using data-driven methods. They established India’s first computational materials database aNANt (, currently the world's largest database of 2D materials. He did his PhD from the Institute of Materials Research, Tohoku University, Japan. He was a JSPS Postdoctoral fellow. He has also worked as post doctoral research associate at University of California Santa Barbara, and Rice University, Houston, USA.
Prof. Singh has published ~150 papers. His work has received ~ 5500 citations and his current h-index is 42. He is a recipient of Materials Research Society of India Medal in 2014, Distinguished Lectureship Award of Chemical Society of Japan in 2020 and JSPS invitation fellowship 2020.

Dr. Vikram Jamwal

Dr. Vikram Jamwal

Principal Scientist at TCS Research, India

Dr. Jamwal leads the efforts in Creativity, and Computational and Humane R&D at TCS Research. He holds a PhD from IIT - Bombay in the Science of Computers. In his previous stints, he was in Executive Design at C&G and a scientist at NCST. Dr. Jamwal has delved in the past in performing arts - Poetry, dramatics, speech, song, visual arts, et al. Now he devotes all his time pondering “Can machines creatively express at all?”

Register Now!

10-11 October 2020 | 15.00 - 19.30hrs IST (UTC+5.30hrs)

Past Editions

2019: Science and Engineering of Complex Systems

In the second edition of ThoughtWorks E4R Symposium, we focused on the need and approaches to understand and compute complex systems. Discussions centered on how the noble missions of grand exploration and big science need engineering excellence to become a reality.

2018: The Fourth Paradigm of Science

ThoughtWorks Engineering for Research team organized the first edition of E4R Symposium in 2018. The forum of scientists, researchers, engineers and technologists across scientific disciplines delved into the three important trends disrupting the field of Computational Science: Data Deluge, Artificial Intelligence, and Complex Modeling & Simulation.

ThoughtWorks E4R

ThoughtWorks Engineering for Research (E4R) is our initiative to apply computational methods to advance research in the scientific disciplines such as astronomy, physiology, genomics, economics, and disaster response in societies, but not limited to these. With this practice, ThoughtWorks is committed to the 14th Engineering Grand Challenge.


Our approach is built upon over 25 years of hands-on experience, paired with our deep technical expertise in the areas that are core to every enterprise’s technology strategy.


The intent is to build a community working exclusively with research organizations, and build tools for scientific exploration, that will enable us to discover patterns, frameworks and computer science of the third horizon.