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.

Karla Cervantes Barron

PhD Student

Department of Engineering

Areas Of Expertise:

Data analysis, Data visualisation, Python, R language, Statistical analysis, Data collection, Database design, Data architecture, Surveys, Workshop delivery, Social media and digital communications

Contact Information

kc512@cam.ac.uk

@twin_karla

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Biography

Karla’s PhD is about the level of energy services used in different countries with a focus on development. The research involves analysing country-level databases, performing statistical analyses and making visualisations.

Karla holds a Bachelors’ degree in Chemical Engineering from the National Autonomous University of Mexico (UNAM) and an MSc from University College London (UCL).

Karla’s professional experiences before the PhD included working for the non-alcoholic beverage industry in Mexico in the areas of quality, environment protection and operations management.

Pingfan Song, PhD

Senior Research Associate

Areas Of Expertise:

Python, Git, Matlab, Machine learning, Code sharing, Imaging, Workshop delivery

Contact Information

ps898@cam.ac.uk

My LinkedIn Profile

Biography

Dr. Pingfan Song is a senior research associate at the Machine Learning group in University of Cambridge. He is endorsed under the Global Talent by UK Research and Innovation (UKRI) in recognition of his critical contributions.
   He has been working on trustworthy machine learning which aims to advance work on key technical underpinnings of interpretability/transparency, fairness, and robustness of machine learning systems, and to develop timely key applications in real world healthcare settings, such as medical imaging diagnosis systems. In addition to machine learning, he is also a professional in image processing, sparse modeling and sampling theory. His research has been applied to multi-disciplinary fields such as medical imaging, biological imaging, and other computational imaging tasks and inverse problems.
   He is a STEM ambassador in UK and a mentor of in2scienceUK where he provides free teaching, career guidance and advice for A-level students in order to empower students from disadvantaged backgrounds to achieve their potential and progress to STEM and research careers. He is also Co-president of London PhD Network (LPN), a non-profit academic association promoting interdisciplinary communication.

Swati Rajwal

Research Assistant

Department of Engineering

Areas Of Expertise:

Python, Git, SQL, Machine learning, Data collection, Version control, Research data ethics, Data protection and research, Code sharing, Writing/publishing data papers, Surveys, Bioinformatics, Social media & digital communications

Contact Information

sr2050@cam.ac.uk

@SwatiRajwal

My LinkedIn Profile

Biography

Swati is a Research Assistant in the Department of Engineering at the University of Cambridge. Currently, her research focuses primarily on understanding the temporal structure of pain through behavioral assessment of chronic pain patients. In addition to her research, she actively participates in mentorship initiatives such as Google’s WomenTechmaker Program. Prior to joining Nox lab, she worked with collaborators from Mayo Clinic, Oxford University, and Accenture Research Lab.

Dequn Teng

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Biography

Karla Cervantes Barron

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Biography

Pingfan Song, PhD

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Biography

Swati Rajwal

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