The committee for this accademic year is composed by the following university members.
President
Roman is a third year information engineering undergraduate. He is very interested in data science and machine learning. Roman has worked on several projects focusing on the applications of data science in medicine. Most notably, he has researched the parallels between trends in living systems and markets, and won the 2019 Cambridge University MedTech Innovation Award for his work looking into fast diagnosis for heart conditions. Roman has also worked on a consultancy project with IQVIA which involved exploring the UK’s pharmaceutical market, with a focus on Britain’s most prolific conditions
President
Vladimir is currently a third-year Chemical Engineering student at the University of Cambridge. After the internship at the investment firm, where he focused on manual analysis of data from different trading instruments, he became interested in implementation of such engineering instruments as supervised and unsupervised machine learning in trading. Biotechnology work experience alongside with MOOC-courses on Machine Learning and Data Science allowed him to obtain experience of using data analysis to solve problems associated with gene expression data which suffers from ‘the curse of dimensionality’, making the analysis challenging, and led to progress in glioblastoma research. Furthermore, collaboration between him and Roman Streltsov, another member of committee, resulted into their start-up, which uses Machine Learning. Their team has won Cambridge University MedTech Innovation Programme and became a finalist at JBS MedTech Venture competition.
Treasurer
Scientific Director
Stephen Mak is currently an Engineering PhD student at the Institute for Manufacturing. His research interests focuses on the application of machine learning towards supply chain problems. Prior to starting his PhD, he worked as a Data Engineer at Rolls-Royce where he was predicting when components would fail within a jet engine through the use of machine learning.
Financial Officer
Fatih Uenal is a postdoctoral researcher at the Department of Psychology working within the Cambridge Social Decision-Making Lab. He is also an associated research fellow at the Department of Psychology at Harvard University. In his academic work as well as his own start-up company, he is utilizing data science techniques in tackling issues related to climate change, automation, immigration, and labor market integration. As financial and sponsorship officer at the Cambridge University Data Science Society, he is responsible for establishing sponsorship and cooperation agreements with interested companies and organizations from industry and civil society organizations.
Web Officer
Luca is a third-year PhD student in the Department of Haematology. His research focuses on the non-coding regions of the human genome and how these sequences may be used to increase the diagnostic rate of bleeding, thrombotic and platelets disorders. Luca has great interest in databases and genome sequencing, and believes that they can be used to improve the national health system. He also likes to be involved in public engagement activities to increase awareness on the genomic revolution and its ethical considerations.
As web officer, he takes care of the CUDSS website and mailing lists.
Membership Officer
Siqi is currently a fourth year NatSci at Trinity College studying Systems Biology. She is interested in data science applied in biological sciences and public health. She is currently working in the Cambridge Centre of Proteomics where she aims to explore machine learning and Bayesian approaches to Thermal Proteomic Profiling.
Marketing and Events Officer
Anika Liu is a PhD student in Computational Toxicology at the Department of Chemistry in collaboration with GlaxoSmithKline. In her research, she works with data generated across various stages of drug development to understand the biological mechanisms behind drug side effects, and to develop machine learning models to predict adverse events cost-efficiently and early in the drug pipeline. In addition, she is working with the Cambridge start-up PharmEnable to extend their diversity-orientated compound database using cheminformatics approaches.