Data Science News
Dr. Igor Carboni Oliveira joins the Department as a new Assistant Professor
The Department is welcoming our new Assistant Professor, Dr. Igor Carboni Oliveira, who will be associated with the Division of Theory and Foundations (FoCS) and the Centre for Discrete Mathematics and its Applications (DIMAP).
Before joining Warwick, Igor held postdoctoral positions at the Department of Computer Science at the University of Oxford and at the School of Mathematics at Charles University in Prague, and was a research fellow at UC Berkeley's Simons Institute for the Theory of Computing. He obtained his PhD in Computer Science from Columbia University in 2015. He is also Royal Society University Research Fellow 2019.
His research is primarily focused on the limitations of algorithms and computations, with connections to combinatorics and mathematical logic. For more information about his work and interests, please see his web page at https://www.dcs.warwick.ac.uk/~igorcarb/
MRC funding success for Dr Yulia Timofeeva
We are happy to announce that Dr Yulia Timofeeva from the department's Applied Computing research theme has been awarded a Medical Research Council grant to develop a modelling framework and computational tools for studying synaptic transmitter release in health and disease. The £475K project will run in close collaboration with the laboratory of Professor Kirill Volynski at the UCL Queen Square Institute of Neurology as well as other world-leading experimental laboratories in Europe, USA, Canada and Japan, specialising in state-of-the-art research in synaptic transmission.
EPSRC funding success for Dr Sayan Bhattacharya
We are pleased to report that Dr Sayan Bhattacharya from the Theory and Foundations research theme at the Computer Science Department has received an EPSRC New Investigator Award. This will allow him to lead a research project on the theory and applications of dynamic algorithms. The approximately £250K project will aim to develop new techniques to design algorithms for fundamental optimisation problems in a setting where the input data changes over time.
The proposal was ranked top at its funding prioritisation panel, and the reviewers said:
The intended research explorations are of very high quality and will likely make a substantial impact on the research community; and possibly on the industrial sector.