Data Champions Search

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Jiri Benacek

Research Assistant

Chemical Engineering and Biotechnology

Areas Of Expertise:

Python, Matlab, Data visualisation, Big data, Machine learning, Statistical analysis, Experimental design, Sensitive data, Research data ethics, Data protection and research

Contact Information

jb2346@cam.ac.uk

My LinkedIn Profile

Biography

My background is neuropsychology, and later, computational neuroscience. During my studies, I developed strong skills in applied data science and machine learning, as well as fundamental knowledge of neural computation. Currently, I am based in the Cambridge Centre for Neuropsychiatric Research, where our team is working on biomarker discovery for neuropsychiatric disorders, as well as on developing algorithms for more data-informed diagnostics in mental healthcare.

Pratheeba Vimalnath, PhD

Post-doctoral Research Associate

Department of Engineering, Institute for Manufacturing (IfM)

Areas Of Expertise:

Licensing, Copyright, Data analysis, RDM training, Data Management Plans, Intellectual Property (IP), Statistical analysis, Data collection, Database design, Data protection and research, Data sharing, Open data, Illustration

Contact Information

pv302@cam.ac.uk

My LinkedIn Profile

Biography

Dr Pratheeba Vimalnath is a Post-Doctoral Research Associate at the University of Cambridge, Institute for Manufacturing. She is currently working for the interdisciplinary and international research project IPACST that aims to study the role of IP strategies in accelerating sustainability (social, environmental and economic) transitions. Her research interests broadly include intellectual property strategies, green innovations, and technology and innovation management. She is also a College Research Associate at Wolfson College and an Interest Group Champion for Cambridge Global Challenges (CGC). She holds a doctorate degree in Intellectual Property Management, a Master’s degree in Technology Management and a Bachelor’s degree in Computer Science and Engineering, from India.

Dequn Teng

Contact Information

Biography

Jiri Benacek

Contact Information

Biography

Pratheeba Vimalnath, PhD

Contact Information

Biography

Filter by area of expertise

Filter by research communities:

Study at Cambridge

About the University

Research at Cambridge