“Do. Or do not. There is no try.” ~ Yoda, The Empire Strikes Back.
Hi! I am Sid. My areas of interest lie in Predictive Modelling, Statistical Machine Learning and more recently Causal Inference. Previously, I have worked in their applications in diverse areas such as Materials Informatics, Computational Social Sciences, Business Analytics and Environmental Sciences. Uptill now, I have been quite fortunate to be advised by Prof. Stéphane Bordas, Prof. Abhishek Tewari & Prof. Niteesh Sahni whose unparalleled support & guidance has helped me move forward in my career.
As a kid, I was quite fascinated by how Artificial Intelligence was potrayed in sci-fi movies and novels which ultimately led me into in this field today. In my free time you will find me listening to classical rock music, binging on sitcoms, crime-thrillers or trying to find excuses to quote silly puns and Star Wars references.
News
- Started a new role as a Data Scientist at Noodle.ai and help create a world without waste. (Dec’ 2021)
- Joined an ed-tech startup fREADom (Stones2Milestones) as a Manager-Data Science (Aug’ 2021)
Participating in the Turing-Leeds DSG as a Visiting Researcher to work with a veterinary consultancy company: Vet AI (July’ 2021)
- Defended my undergraduate thesis: “Rising above ML: The case of causality in SME Lending”. I have officially graduated now! (May’2021)
- Started working as a Data Scientist (intern) at Causalens, London. (Dec’2020)
- Co-Teaching a course on Deep Learning(MAT-494: Monsoon-2020) at SNU. A description of the sessions conducted can be found here.
- Released “Network Learning approaches to study World Happiness” on arxiv. (July’2020)
- Our work just got accepted in Cambridge University Press. Full-Paper available here. (July’2020)
- Gave a poster presentation at FAIR-DI-2020, Berlin (June’2020). The poster along with a short poster pitch video can be accessed here.
- Started working as a Research Intern at IIT Roorkee under the guidance of Prof. Abhishek Tewari.(May’2020-Present)
- Invited to visit University of Luxembourg as a Visiting Research Scholar to work with Legato team of Prof. Stéphane Bordas on Physics Informed Deep Learning with its applications in Breast Biomechanics. (Mar’2020)
Publications
- "Machine Learning approaches to identify and design Low Thermal Conductivity Oxide Alloys for Thermoelectric Applications" in Cambridge University Press
- "Network Learning approaches to study World Happiness" Arxiv Pre-print
- "Get Bristol Moving-Tackling Air Pollution in Bristol City Center" by Alan Turing Institute, London