Dr Dipankar Sengupta

Dipankar Sengupta's profile photo

Senior Lecturer

Life Sciences

(United Kingdom) +44 20 7911 5000 ext 64132
115 New Cavendish Street
London
GB
W1W 6UW
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About me

Qualifications:

July 2010 - March 2014: Ph.D., Jaypee University of Information Technology (JUIT), India [Thesis: Translational and High-End Computing of Clinical data in India]

July 2003 - June 2007: Bachelor of Technology (Bioinformatics), Jaypee University of Information Technology (JUIT), India

Professional Experience:

Aug. 2023 onwards: Senior Lecturer in Health Data Analytics, School of Life Sciences, University of Westminster, United Kingdom

Sep. 2021 - July 2023 onwards: Lecturer in Health Data Analytics, School of Life Sciences, University of Westminster, United Kingdom

Apr. 2020 – Sep. 2021: Teaching Associate (Bioinformatics and Computational Biology), PGJCCR, Queen’s University Belfast, United Kingdom

Jan. 2018 - Mar. 2020: Postdoctoral Research Fellow, PGJCCR, Queen’s University Belfast, United Kingdom

Aug. 2014 - Dec. 2017: Postdoctoral Researcher and Teaching Assistant, Artificial Intelligence Lab, Vrije Universiteit Brussels (VUB), Belgium

Apr. 2014 -July 2014: Assistant Professor, Jaypee University of Information Technology (JUIT), India

May 2010 -Mar. 2014: Associate Lecturer, Jaypee University of Information Technology (JUIT), India

Sep. 2007 - Apr. 2010: Associate Consultant (Technology)Publicis Sapient, India

Teaching

I have always found myself profoundly engrossed in teaching and deeply connected with students. My introduction to formal teaching was at the Jaypee University of Information Technology as an Associate Lecturer (2010) in the Department of Biotechnology and Bioinformatics. Thereafter, I have ~12 years of teaching experience at the undergraduate and postgraduate (taught) levels, covering computational subjects as diverse as scientific programming and statistical computing, techniques of artificial intelligence, data warehouse, and its clinical applications, etc. 

I completed my higher education training from CED, Queen's University Belfast (2018-2020) and was awarded the status of Fellow of the HEA (2021) in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education.

Currently, I am contributing to the following modules:

  • Health Data Science (Module Leader)
  • System Biology (Deputy Module Leader)
  • Bioinformatics
  • Designing a Sustainable World
  • Professional Development in Science
  • Science, Technology, and Commercialisation
  • Research Methods II & Research Project for Health Sciences
  • Supervision - BSc and MSc Research Projects

Short Course - Introduction to Statistics using R

Research

With an undergraduate and postgraduate background in Bioinformatics, I have ~3 years of industrial and ~8 years of post-doctoral research experience in business intelligence, data science, machine learning, relational databases, and software development as applied to clinical and life sciences, with 28 peer-reviewed abstracts, book chapters, and papers in journals/conference proceedings, including 14 as first or senior author. My work has spanned both academic and industrial sectors. 

My research aspires to unveil the precision medicine intricacies like patient stratification, tools for diagnosis/prognosis (temporal computing), and challenges like availability of labeled data, etc. using data science, machine learning, and other computational approaches. 

I also have an interest in addressing challenges in precision nutrition, urban health, sustainable development, etc. via technological solutions like machine learning.

Publications

For details of all my research outputs, visit my WestminsterResearch profile.