Dr Vitaliy Kurlin: research and teaching in mathematics and computer science

The war in Ukraine should finish as soon as possible otherwise many more people can die across the world.

Our group is developing the new area of Geometric Data Science for applications in crystallography and materials.

If you are a potential postdoc, PhD student or intern with C++ or Python skills, read the post : how to join the group.

Data Science research : theory and applications
Affiliations : current positions and connections
News : success stories in the research group
Career highlights : achievements since 2005
Grants : fellowships and research projects
Research group in Data Science : join us
Annual conference MACSMIN since 2020
Interdisciplinary MIF++ seminar since 2019
AI Health doctoral network and AGT network
Education : PhD (2003), MSc×2 and PGCert
Experience : CV and job history since 2000

Data Science research : from theory to applications and back

Videos of talks explaining key ideas and applications in a new area of Geometric Data Science, see also earlier videos

Geometric Data Science for continuous crystallography (53 min) at MACSMIN, Liverpool, September 2022.
Geometric Data Science : old challenges and new solutions (50 min) at Applied Topology, Bedlewo (Poland), July 2022.
The Crystal Isometry Principle (44 min) at the LIV.DAT seminar in the Physics department at Liverpool, April 2022.
The Crystal Isometry Principle (13 min) at the annual conference of the AI3SD network, Southampton, March 2022.

Affiliations: current positions and connections

Data Scientist at the Materials Innovation Factory (University of Liverpool) funded by Unilever, HEFCE, Leverhulme, ERC. MIF is a £82 million institute spun out from a top 3 Chemistry department in the UK for outstanding (4*) research impact.
Reader (Associate Professor) in the top 5 Computer Science department in the UK for outstanding (4*) research outputs.
2021 : industrial fellow at the Cambridge Crystallographic Data Centre, funded by the Royal Academy of Engineering, UK.
2021 : consultant of the International Union of Crystallography commission Mathematical and Theoretical Crystallography, one of six co-chairs of three micro-symposia in mathematical crystallography at the triannual IUCr 2023 congress.
2021 : director of the Doctoral Network in Artificial Intelligence (AI) for Future Digital Health funded by the University of Liverpool to train the next generation of world-leading experts in AI to solve data intensive problems in healthcare.
2020 : founder and organiser of the conference MACSMIN (Mathematics and Computer Science for Materials Innovation) whose post-proceedings in 2022 will be published by Acta Crystallographica A, which invited me as a guest editor.
2018 : management team member in the Centre for Topological Data Analysis, Universities of Oxford, Liverpool, Swansea.
2017 : organiser of the LMS network Applied Geometry and Topology covering Liverpool, Southampton, Queen Mary.
See other past and current admin posts. Many thanks to the following research sponsors and collaborators:

News : success stories of the group in Data Science Theory and Applications

January 2023 : warm congratulations to Milo Torda as the first author of the paper Entropic trust region for densest crystallographic symmetry group packings accepted for publication in SIAM Journal on Scientific Computing.
January 2023 : gave the 1-hour talk "Geometric Data Science for unlabeled point clouds modulo Euclidean isometry" at the LMS workshop Applied topology and Robot Motion Planning, Queen Mary University of London, UK
January 2023 : gave the 1-hour talk "The Crystal Isometry Principle justifies continuous maps of the Cambridge Structural Database" at the journal club of the Cambridge Crystallographic Data Centre (UK): summary (pdf).
January 2023 : warm congratulations to Dr Milo Torda on his successful PhD viva based on the papers in PRE and SISC.
January 2023 : gave the talk "Mapping the spaces of crystalline materials and proteins" at AstraZeneca's journal club.
January 2023 : gave the talk Geometric Data Science: old challenges and new solutions in the session `Topology, Algebra, and Geometry in the Mathematics of Data Science' at Joint Mathematics Meetings 2023, Boston (US): summary (pdf), which followed by long and fruitful discussions with Steven Gortler (Harvard), Justin Solomon (MIT), Tim Havel (MIT), Lorin Crawford (Microsoft), Egon Schulte (Northeastern University, Boston) and Mike Lesnick (University at Albany, US).
Since March 2013 : previous news stories are in the news archive.

Career highlights : leadership, awards, papers, keynotes, collaborations, mentoring

Major leadership roles (all admin roles)
- Since 2020 : founder of the annual conference MACSMIN = Mathematics and Computer Science for Materials Innovation.
- Since 2019 : training lead, now the director of the UoL doctoral network in Artificial Intelligence for Future Digital Health.
- Since 2017 : leading the group in Data Science Theory and Applications, including two postdocs and many PhD students.
Personal awards (all grants)
- 2022 - 2024 : PI of the EPSRC New Horizons grant Inverse design of periodic crystals (£250K, ref EP/X018474/1).
- 2021 - 2023 : Royal Academy of Engineering Industry Fellowship at the Cambridge Crystallographic Data Centre, UK.
  Title : Data Science for Next Generation Engineering of Solid Crystalline Materials (£220K, ref IF2122\186).
- 2013 : Teaching award Lecturer of the Year, voted by Durham Student's Union in the Science Faculty.
- 2011 - 2013 : PI of the EPSRC grant (£100K, ref EP/I030328/1), the first UK grant on Topological Data Analysis.
- 2005 - 2007 : Marie Curie International Incoming Postdoctoral Fellowship (142K euros), University of Liverpool, UK.
Main research papers where I was a single author or a lead author (all publications)
- 2022 : single-authored Mathematics of 2-dimensional lattices (50+ pages) in Foundations of Computational Mathematics.
- 2022 : Resolving the data ambiguity for periodic crystals in NeurIPS 2022, a top venue in the entire Computer Science.
- 2015 : Homologically Persistent Skeleton in Computer Graphics Forum, extended in AAM, Pattern Recognition (2021).
- 2014 : first successful Computer Science paper in peer-reviewed Proceedings of Computer Vision and Pattern Recognition CVPR 2014, which is a top conference in the entire Computer Science and the highest h-index conference in any field.
- 2008 : All 2-dimensional links live inside a universal 3-dimensional polyhedron in Algebraic and Geometric Topology.
- 2005 : my longest single-authored pure mathematics paper Compressed Drinfeld associators in Journal of Algebra.
Keynote talks (all presentations)
- 2022 : 50-min invited talk Geometric Data Science challenges and solutions at Applied Topology in Bedlewo (Poland).
- 2019 : public talk `The rise and fall of deep learning' won the award at the European Crystallographic Meeting in Vienna.
- 2016 : keynote applied maths talk on Topological Computer Vision at Prospects in Data Science, Southampton, UK.
- 2006 : high-profile pure maths talk (20-min oral) at the International Congress of Mathematicians, Madrid, Spain.
Major collaborations (all co-authors)
- Since 2021 : developing an impact case funded by the RAEng Fellowship at the CCDC. Over two CPU-days our invariants detected five physically impossible pairs among 660K+ periodic crystals in the CSD, now investigated by five journals.
- Since 2017 : collaboration with the world-leading materials scientists Andy Cooper and Matt Rosseinsky in the MIF. The joint papers in ACA, JACS, Chemical Science, Chemistry of Materials amplified the impact of Geometric Data Science.
- 2017 - 2021 : the Royal Society International Exchanges grant with Prof Herbert Edelsbrunner's group at IST Austria led to the SoCG 2021 paper and helped establish the new area of Geometric Data Science studying moduli spaces of shapes.
- 2017 - 2021 : collaboration with climate scientists via the Big Data Center funded by Intel at the Lawrence Berkeley lab (US) led to the highly cited articles in GMD and JGRA on the Atmospheric River Tracking Method Intercomparison Project.
- 2014 - 2016 : industry secondments in the Computer Vision group at Microsoft Research in Cambridge (UK) led to the new method of superpixel image over-segmentations described in joint papers in ISVC and Journal of Electronic Imaging.
Mentoring (all former members)
- Dr Yury Elkin (PhD student in 2017-2022) is a postdoc on the New Horizons grant "Inverse design of periodic crystals".
- Dr Marco Mosca (PhD student in 2018-2022) is a software engineer in the Wellcome Sanger Institute, Cambridge, UK.
- Dr Philip Smith (PhD student in 2017-2021) is a university teacher in Computer Science at the Unversity of Liverpool, UK.
- Dr Grzegorz Muszynsky (PhD student in 2017-2021) is a postdoc in the Physics department at Oxford University, UK.
- Dr Alexey Chernov (postdoc in 2011-2012) is a Senior Lecturer in Statistics at Brighton University, UK.
- Dr Marjan Safi-Samghabadi (PhD student in 2009-2013) is a computer programmer in Tehran, Iran.

Grants (larger than £10K), see also smaller grants

	2022 - 2024 New Horizons EPSRC grant with co-I Prof Andy Cooper FRS. Budget : £250K covers a postdoctoral assistant for 20 months. Title : Inverse design of periodic crystals (ref EP/X018474/1).
	2021 - 2023 Royal Academy of Engineering Fellowship, Cambridge Crystallographic Data Centre. Title : Data Science for Next Generation Engineering of Solid Crystalline Materials (ref IF2122\186). The RAEng funded a 2-year teaching replacement (total £220K), the CCDC invested £60K for a PDRA.
	2020 - 2023 NERC grant (£965K, ref NE/V010778/1) on improving plastic packaging is led by Dr Thomas McDonald. I am responsible for a Data Science analysis of plastic materials properties. Title : Post-Consumer Resin - Understanding the quality-performance linkage for packaging.
	2019 - 2022 Unilever's top-up (£18K) for the PhD bursary of Thomas Welsh, who has done a great MSc thesis for Unilever in summer 2018 and continues working on Unilever's projects in his PhD.
	2018 - 2023 EPSRC grant led by Prof Ulrike Tillmann and Prof Heather Harrington from Oxford. The 100% budget is £3.5M. I lead the Liverpool team with a budget over £715K including Professors Cooper, Spirakis, Potapov. This success has created the Centre for Topological Data Analysis. Title : Application-driven Topological Data Analysis (ref EP/R018472/1).
	2017 - 2020 Intel gift ($40K per year) for Grzegorz Muszynski's PhD "Topological analysis of the Climate System" funded via the Lawrence National Berkeley lab (US) at the University of Liverpool.
	2017 - 2019 The Royal Society International Exchanges grant (£12K) for bilateral visits between our Data Science group at Liverpool and Prof Herbert Edelsbrunner's group at IST Austria. Title : Topological Data Analysis for a faster discovery of new materials (IES/R2/170039).
	2014 - 2016 Knowledge Transfer Secondments at Microsoft Research Cambridge with Dr Andrew Fitzgibbon. The EPSRC gave about £25K, Microsoft Research provided £75K in-kind contribution. Covered visits to Prof Carlsson at Stanford and Lawrence National Laboratory in Berkeley (2016). Title : Applications of Topological Data Analysis to Computer Vision.
	2011 - 2013 EPSRC first grant (£125K) with post-doctoral assistant Dr Alexey Chernov, which continued as Knowledge Transfer Secondments at Microsoft Research Cambridge in 2014-2016. Title : Persistent Topological Structures in Noisy Images (ref EP/I030328/1)
	2005 - 2007 Marie Curie International Incoming Postdoctoral Fellowship (142K Euros). University of Liverpool (UK), September 2005 - May 2007. Title : Combinatorial Knot Theory.
	2003 - 2004 Postdoctoral Fellowship (22K Euros). University of Burgundy, Dijon (France). Title : Combinatorial Group Theory.

Group in Data Science Theory and Applications (DSTA) : members, postdocs, and PhD students

The photo below was taken in October 2019 : Cameron Hargreaves, Matt Bright, Vitaliy Kurlin, Georg Osang (visitor from IST Austria), Philip Smith, Cristian Badoi, Yury Elkin, Katerina Vriza, Miloslav Torda, Marco Mosca, Thomas Welsch.

TDA group photo February 2018

The group develops a new area of Geometric Data Science studying moduli spaces of data objects modulo practical equivalences. The key example is a finite or periodic set of unlabeled points modulo rigid motion or isometry. The major breakthroughs are the Crystal Isometry Principle for all periodic crystals and complete isometry invariants of unlabeled sets with continuous metrics computable in a polynomial time in the number of given points for a fixed dimension.

September 2022 : the university news highlighted the EPSRC New Horizons grant "Inverse Design of Periodic Crystals".
June 2022 : the spotlight Porous Molecular Framework Structures by Design on our JACS 2022 paper highlighted "a way not only to make mesoporous molecular crystals but also make other crystals in a quantifiable and predictive manner".
October 2021 : the Royal Academy of Engineering Industrial Fellowship "Data Science for Next Generation Engineering of Solid Crystalline Materials" at the Cambridge Crystallographic Data Centre was announced in the university news.
April 2019 : the research of our group in the MIF has been highlighted in the case study The shape of spaces.
December 2018 : the research of PhD student Grzegorz Muszynski funded by Intel through the Big Data Center at the Lawrence Berkeley lab (US) has been highlighted in the HPC wire news Topology Can Help Us Find Patterns in Weather.
January 2018 : the EPSRC awarded £3.5M to the 5-year project Application-Driven Topological Data Analysis in 2018 - 2023 (EP/R018472/1) at the Universities of Liverpool, Oxford, Swansea. The Liverpool team has a £715K+ budget.
August 2017 : the group established the Intel Parallel Computing Centre (IPCC) funded by Intel at the University of Liverpool via the Big Data Center at the Berkeley lab to develop new methods for detecting extreme weather events.
Since 2017 : the group offers the opportunity to give informal talks at the regular group seminar, see our alumni.

	Associate member Dr Viktor Zamaraev is a Lecturer in Computer Science since October 2019. Viktor had postdoctoral positions at Durham and Warwick after earning a PhD in Theoretical Computer Science. With Viktor we supervise PhD student Jonathan Balasingham since October 2021.
	Associate member Dr Olga Anosova is a research assistant in Applied Data Science since October 2020 in the department of Public Health, Policy and Systems at Liverpool. Olga completed a PhD in Dynamical Systems and worked as a teacher and lecturer at several universities. Joint papers: DGMM 2022, CMMP 2022, DAMDID 2022, DGMM 2021, NumGrid 2021.
	Postdoc Dr Yury Elkin is funded by the EPSRC grant Inverse design of periodic crystals. In 2017 - 2022 Yury completed the PhD "A new compressed cover tree for k-nearest neighbour search and the stable-under-noise mergegram of a point cloud" supervised by Dr Vitaliy Kurlin (80%) and Dr Marja Kankaanrinta (University of Helsinki, Finland), funded by the school of EEE&CS at Liverpool. Joint papers : TopoInVis 2022, Mathematics 2021, MFCS 2020, TopoInVis 2019.
	University teacher Dr Philip Smith in the department of Computer Science, Universlity of Liverpool. In 2013-2017 Phil completed a 4-year Master of Mathematics degree at Durham, where we worked together on a summer project in Computer Vision funded by the London Mathematical Society. In 2017-2021 Phil completed the PhD "Geometric and Topological Methods for Applications to Materials and Data Skeletonisation" under my supervision, then a postdoc funded by the NERC grant. Joint papers: ISVC 2022, PR 2021, SoCG 2021, ISVC 2019.

Current 1st supervision : graduate students who I help as the first supervisor (ordered by their start date).

	PhD student Matthew Bright (since October 2018 including one year 2021-2022 as a university teacher) is supervised by Dr Vitaliy Kurlin (80%) and MIF director Prof Andy Cooper (20%) Project : Geometry and topology for a continuous similarity between crystals. Matt gained a PhD in molecular biology in 2000 followed by industry jobs and MSc in Mathematics. Joint papers: ACA 2023, CMMP 2022, NumGrid 2021, CaG 2020.
	PhD student Mr Thomas Welsch (since January 2019) is supervised by Dr Vitaliy Kurlin (60%) and Dr Patrick Totzke, funded by the school of EEE&CS as the support for the EPSRC grant EP/R018472/1. Project : Programme synthesis and genetic programming. Thomas has gained Computer Science degrees: BSc from Tennessee (US), then completed an excellent MSc thesis under my supervision in Liverpool on an image processing project important for Unilever.
	PhD student Mr Daniel Widdowson (since October 2020) is supervised by Dr Vitaliy Kurlin (70%) and Prof Andy Cooper (20%), and Dr Jason Cole (10%) funded by the network AI for Future Digital Health. Project : A rigorous identification of all metastable polymorphs for better and safer drugs. Daniel obtained BSc in Mathematics from Warwick University and completed MSc in Liverpool under my supervision in summer 2020. Joint papers: NeurIPS 2022, JACS 2022, DiD 2022, MATCH 2022.
	PhD student Mr Jonathan (Teddy) McManus (since October 2020) is supervised by Dr Vitaliy Kurlin (60%), MIF director Prof Andy Cooper (30%), and Dr Jason Cole (10%), funded by the CCDC and the Leverhulme Research Centre at the Materials Innovation Factory. Project : Towards prediction of synthetically accessible organic molecular crystals. Jonathan has obtained a BSc in Mathematics from Durham University, gained industry experience in Data Science and completed a short project in Liverpool under my supervision in summer 2020.
	PhD student Mr William Jeffcott (since November 2021) is funded by the CDT in Distributed Algorithms and supervised by Dr Vitaliy Kurlin, Dr Thomas McDonald and Dr Louise Connell. Project : Data Science and Artificial Intelligence for smart sustainable plastic packaging. Will completed a 1st class Master of Mathematics degree at Durham, UK.

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Current 2nd supervision : graduate students who I help as the 2nd supervisor (ordered by their start date).

	PhD student Mr Krasen Samardzhiev (since October 2017) is supervised by Dr Daniel Arribas-Bel, Dr Vitaliy Kurlin (40%) and Prof Alex Singleton, funded by the Data Analytics and Society CDT. Project : A Topological Data Analysis of Big Spatio-Temporal Urban Data. Krasen completed a BSc degree in Computer Science at Liverpool, UK
	PhD student Mr Cameron Hargreaves (since October 2018) is supervised by Dr Matthew Dyer and Dr Vitaliy Kurlin (40%), funded by the SOLBAT project (a part the Industrial Strategy Challenge Fund). Project : Data Science and Machine Learning for the Discovery of Solid Lithium Ion Conductors. Cameron completed BSc in Electrical Engineering and MSc in Computer Science at Liverpool.
	PhD student Ms Siru Zhang (since January 2019) is supervised by Dr Vladimir Gusev and Dr Vitaliy Kurlin (40%). Siru was initially supervised by Prof Yannis Goulermas, who suddenly died in May 2022. Project : Machine learning algorithms for histogram data: a study in radioisotope identification. Siru obtained a BSc in Financial Mathematics from University of Liverpool and completed an MSc in Applied Mathematics from University of Manchester.
	PhD student Mr Muizdeen Raji (since November 2019) is supervised by Prof Nagesh Kalakonda (50%), Dr Vitaliy Kurlin (30%), Prof Joseph Slupsky (20%), funded by the AI for Future Digital Health. Project : Cellular diversity in health and disease using mass cytometry and computational approaches. Muizdeen is originally from Nigeria, has a BSc in Chemistry and an MSc in Biomedical Sciences.
	PhD student Mr Jonathan Balasingham (since October 2021) is supervised by Dr Viktor Zamaraev, Dr Vitaliy Kurlin and Prof Andy Cooper. Project : AI-based exploration of crystal spaces to accelerate drug discovery. Jonathan completed MSc in Scientific and Data-Intensive Computing (University College London), MSc in Industrial Engineering (San Jose State University) and BSc in Computer Science (University of California, Santa Cruz).
	PhD student Mr Adam Coxson (since October 2021) is supervised by Prof Alessandro Troisi and Dr Vitaliy Kurlin. Project : Developing Machine Learning algorithms with physical constraints for materials discovery. Adam completed a first class Master of Physics degree at the University of Manchester, UK.
	PhD student Mr Alessandro Gerada (since October 2021) is supervised by Prof William Hope, Dr Vitaliy Kurlin and Prof Steve Patterson, funded by the doctoral network AI for Future Digital Health. Project : Understanding bacterial resistance by machine learning from genetic data. Alessandro has a medical degree from the University of Malta and several qualifications from the Royal Colleges of Pathologists and Physicians (UK).
	PhD student Ms Nandini Gadhia (since December 2021) is supervised by Dr Anh Nguyen, Dr Vitaliy Kurlin and Dr Dominic Richards, funded by the doctoral network AI for Future Digital Health. Project : Artificial Intelligence for accelerated drug discovery. Nandini has MSc in Physics (UCL) and BSc in Maths and Physics (Warwick). She does a part-time PhD in parallel with her work at the STFC Hartree centre.

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Current 3rd supervision : graduate students who I help as the 3rd supervisor (ordered by their start date).

	PhD student Mr Shiyamjith Nathaniel (since October 2018) is supervised by Prof Robert Page (50%), Dr Laura Harkness-Brennan (25%) and Dr Vitaliy Kurlin (25%), funded by the Big Data Science CDT. Project : Machine learning and data analysis for gamma-ray detectors. Shiyam completed a BSc degree in Physics at Liverpool, UK.
	PhD student Mr Sam Carruthers (since October 2019) is supervised by the MIF director Prof Andy Cooper (80%), Dr David Marquez-Gamez (10%) and Dr Vitaliy Kurlin (10%). Project : Mobile robot chemists for autonomous solar fuels research. Sam completed a 4-year degree in Chemistry at Liverpool, UK.
	PhD student Mr Michael Walker (since October 2019) is supervised by the MIF director Prof Andy Cooper, Dr David Marquez-Gamez, Dr Vitaliy Kurlin, Dr Yue Wu and Ellen Piercy (Unilever). Project : Vision-based estimation of viscosity, bubble distributions and impurities of liquids. Michael completed a BSc degree in Physics.
	PhD student Mr Danny Ritchie (since October 2021) is funded by Chemistry and supervised by Dr Matthew Dyer, Dr Vladimir Gusev, Dr Vitaliy Kurlin, and Prof Matt Rosseinsky. Project : Machine learning, mathematical optimisation and algorithmic techniques for materials. Danny completed a 1st class degree in Physics at the University of Manchester, UK.

Join the group in Data Science theory and applications

If you know C++ or Python, and wish to join as an intern, PhD or postdoc, please read the post : how to join the group.

We are especially looking for postdoctoral candidates with excellent communication skills and external funding.

If you follow the advice, we'll support your application for a PhD studentship or a postdoctoral fellowship below.

Royal Society Newton International Fellowships (deadlines in February-March, extra fellowships for postdoctoral candidates from Israel, China, Italy, Brazil, Mexico, South Africa, Turkey).
European Marie Curie individual fellowships (deadlines usually in early September).
EPSRC Postdoctoral Fellowships (no deadline, best submitted in January or July).
Leverhulme Trust Early Career Fellowships (deadlines in February-March).
AXA postdoctoral fellowships (deadlines in early April/October).
PhD scholarships at the University of Liverpool (different deadlines depending on your country and case).
Commonwealth PhD Scholarships (for low and middle income countries, deadlines in February/March).

Education : PhD (2003), MSc×2 and PGCert

PGCert : Postgraduate Certificate in Teaching and Learning in Higher Education (2008 - 2009) and full membership of the Higher Education Academy, UK.
PhD in Geometry and Topology, Moscow State University, November 2000 - October 2003
Thesis : Basic embeddings of graphs and 3-page embeddings of graphs.
Supervisors : Prof Victor Buchstaber and Prof Arkady Skopenkov.
MSc in Mathematics, Independent University of Moscow, 1995 - 2002 (part-time)
Thesis : Turaev-Viro invariants of compact 3-dimensional manifolds.
MSc in Mathematics (grade point average 5.0/5), Moscow State University, September 1995 - June 2000
Thesis : 3-page diagrams of spatial 3-valent graphs.
Gold medal (top grades 5/5 in all subjects), Physical-Mathematical School N146, Perm, June 1995.
Top grades in mathematics and physics in the 2-year distance course by Moscow Institute of Physics and Technology (September 1993 - May 1995) whose famous graduates include the Nobel laureates A. Geim and K. Novoselov.

Experience : CV and job history since 2000

Vitaliy Kurlin's curriculum vitae (pdf, 9 pages, last updated in December 2022)
Current research : Geometric Data Science for materials science and structural biology
Past research : climate science, computer vision, topology, graphs, non-commutaive algebra
Programming : C/C++ (industry level), Python, PHP, HTML5, CSS3, Python, Java, Matlab, Javascript
Since 2016 : senior lecturer, then reader (associate professor), Materials Innovation Factory, Liverpool
2014 - 2016 : visiting scientist in the Computer Vision group at Microsoft Research, Cambridge (UK)
2007 - 2013 : university lecturer (assistant professor) in Pure Mathematics, United Kingdom
June - September 2007 : research postdoc in Sensor Networks, University of Lancaster, UK
September 2005 - May 2007 : research postdoc in Knot Theory, University of Liverpool, UK
February - May 2005 : teaching postdoc in Knot Theory, Independent University of Moscow
December 2003 - November 2004 : postdoc in Combinatorial Group Theory, University of Burgundy
November 2000 - October 2003 : PhD student in Geometry and Topology at Moscow State University

Dr Vitaliy Kurlin: mathematics & computer science

Data Science theory and applications. Everything is possible!

E-mail: vitaliy.kurlin(at)gmail.com, University of Liverpool, UK