Prof Vitaliy Kurlin: mathematics & computer science

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

I consider myself a universal scientist : mathematician by training, professor in computer science, and the lead of the group developing a new area of Geometric Data Science for crystallography, materials chemistry, and structural biology.

The major breakthroughs are the Crystal Isometry Principle inspired by Nobel laureate Richard Feynman's hint, and complete continuous maps of Cloud Isometry Spaces extending the SSS theorem to unordered points in any dimension.
Since June 2022, the key results have been published in four venues from the list of top 25 : JACS, NeurIPS, CVPR, ICML.

• 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
• PhD training in Data Science Foundations
• UK network Applied Geometry and Topology
• 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 the latest results in Geometric Data Science, see also earlier videos

• Continuous Crystallography and Geometry of Proteins (51 min) at the 4th MACSMIN conference, Liverpool, May 2023.
• Recognizing rigid patterns of unlabeled point clouds by complete isometry invariants, 8-min talk on the CVPR 2023 paper.
• Geometric Data Science for continuous crystallography (53 min) at the 3rd MACSMIN conference, 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.

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Affiliations : current positions and connections

• Data Scientist at the Materials Innovation Factory (University of Liverpool) funded by Unilever, HEFCE, Leverhulme, ERC. MIF is a £112M institute spun out from a top 3 Chemistry department for outstanding (4*) research impact in the UK.
• Full professor in the top 5 Computer Science department for outstanding (4*) research outputs in the United Kingdom.
• Since 2023 : Royal Society APEX fellow, project "New geometric methods for mapping the space of periodic crystals".
• Since 2023 : member (consultant in 2021-2023) of the International Union of Crystallography commission MaThCryst.
• Since 2020 : founder and organiser of the conference MACSMIN (Mathematics and Computer Science for Materials Innovation) whose post-proceedings in 2022 are being published by Acta Crystallographica A, where I am a guest editor.
• Since 2018 : management team member in the Centre for Topological Data Analysis (Oxford, Liverpool, Swansea).
• Since 2017 : organiser of the LMS network Applied Geometry and Topology (Liverpool, Southampton, Queen Mary).
• See other past and current admin posts. Many thanks to the following research sponsors and collaborators:
                 

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

• November 2024 : invited to talk at the workshop organised by Prof Michael Farber at Queen Mary University of London.
• November 2024 : the ECM 2025 approved our mini-symposium M44 "Comparing crystal structures in massive datasets".
• November 2024 : invited to talk at the ICMS workshop Dimensionality Reduction Techniques, Edinburgh, UK
• October 2024 : gave the following talks at various venues in the US and Canada
  • Introduction to Geometric Data Science at Princeton University (US), hosted by Amit Singer.
  • The Crystal Isometry Principle at Columbia University (New York, US), hosted by Simon Billinge.
  • Can we geometrically sense the shape of a molecule? University of Minnesota (US), hosted by Peter Olver.
  • Can we geometrically sense the shape of a molecule? University of Montreal (Canada), hosted by Iosif Polterovich.
  • 2-hour tutorial introducing Geometric Data Science at the SIAM conference Mathematics of Data Science (Atlanta, US).
• October 2024 : the Joint Mathematics Meetings (JMM 2025) in Seattle (US) selected the following talks by our group:
  • Geometric guarantees for explainable data science (30 min) in the AMS Special Session on Topological, Algebraic, and Geometric Methods for Safe, Robust, and Explainable Machine Learning.
  • Geographic-style maps of moduli spaces of rigid clouds of unordered points (30 min) in the AMS Special Session on Applications of Algebraic Geometry.
  • Drugs should beware of duplicates and chameleons in the Protein Data Bank (30 min) in the AMS Special Session on The Convergence of AI, Math, and Statistics in Biomedical Research.
  • Geometric Data Science extends Topological Data Analysis (15 min) in the AMS Contributed Papers on Topology.
• Since March 2013 : previous news stories are in the news archive.

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

• Research : developing the new area of Geometric Data Science whose main results include
  • The Crystal Isometry Principle described in MATCH 2022, NeurIPS 2022, ACA 2023, FoCM 2024, IUCrJ 2024, CGD 2024.
  • The polynomial-time extension of the SSS theorem based on the results in the papers at CVPR 2023 and MATCH 2024.
• Major leadership roles (all admin roles)
  • Since 2020 : founder of the annual conference MACSMIN = Mathematics and Computer Science for Materials Innovation.
  • Since 2019 : organiser of the PhD training in Data Science and MIF++ seminar, now running online across the world.
  • Since 2017 : leading the group in Data Science Theory and Applications, including several postdocs and PhD students.
• Personal awards (all grants)
  • 2023 - 2025 : Royal Society APEX fellowship replacing the teaching for two years (£100K, ref APX\R1\231152).
    Title : New geometric methods for mapping the space of periodic crystals.
  • 2022 - 2025 : 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).
  • 2014 - 2016 : EPSRC-funded Knowledge Transfer Secondment in Computer Vision at Microsoft Research Cambridge.
  • 2013 : Teaching award Lecturer of the Year, voted by Durham Student's Union in the Science Faculty (9 departments).
  • 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.
• 10 main research papers where I was a single author or a lead (corresponding) author (all publications)
  • 2024 : Continuous invariant-based maps of the Cambridge Structural Database in Crystal Growth & Design.
  • 2024 : The importance of definitions in crystallography introduced a periodic structure as a rigid class in IUCrJ.
  • 2024 : single-authored Polynomial-time algorithms for continuous metrics on clouds of unordered points in MATCH.
  • 2024 : single-authored Mathematics of 2-dimensional lattices (59 pages) in Foundations of Computational Mathematics.
  • 2023 : Recognizing rigid patterns of unlabeled point clouds by complete and continuous isometry invariants in CVPR.
  • 2022 : Resolving the data ambiguity for periodic crystals in NeurIPS 2022, a top 10 publication venue across all subjects.
  • 2015 : single-authored Homologically Persistent Skeleton in Computer Graphics Forum, extended in AAM 2019, PR 2021.
  • 2014 : first single-authored paper in peer-reviewed Proceedings of Computer Vision and Pattern Recognition CVPR 2014, which is a top conference in the entire subject of 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)
  • 2024 : 50-min invited talk "Can we geometrically sense the shape of a molecule?" at Biomolecular Topology, Singapore.
  • 2024 : 90-min tutorial "Geometric Data Science" at Foundational Aspects of Neuro-Symbolic Computing, Santiago (Chile).
  • 2023 : 1-hour invited talk "Recognizing rigid patterns of unlabeled point clouds by complete and continuous isometry invariants" at the CVPR workshop TAG: Topology, Algebra, and Geometry in Pattern Recognition, Vancouver (Canada).
  • 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 2024 : the Royal Society International Exchanges grant "Generative methods for materials design on geographic-style maps of crystals" with Yoshua Bengio (Mila, Montreal, Canada), the highest cited Computer Scientist, the winner of the 2018 Alan Turing award (Computer Science equivalent of Nobel's prize) and active supporter of safety bounds for AI.
  • Since 2023 : the Royal Society International Exchanges grant "Geometric invariants for interactions of proteins with inorganic nanoparticles" with Prof Nicholas Kotov leading the biological materials lab at the University of Michigan, US.
  • 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 Cambridge (UK) led to the new method of superpixel image over-segmentations described by joint papers in ISVC and Journal of Electronic Imaging.
• Mentoring (all former members)
  • Dr Thomas Welsch (PhD student in 2019-2023) is a permanent software engineer, Oxford, UK.
  • Dr Matt Bright (PhD student in 2018-2023) is a postdoc in the EEE department, University of Liverpool, UK.
  • Dr Milo Torda (PhD student in 2018-2023) is a postdoc in Andy Cooper's group, Materials Innovation Factory, Liverpool.
  • 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, postdoc in 2021-2023) is a postdoc at the University of Manchester, 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.

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

	2024 - 2032 Co-I in the Centre for Doctoral Training in Digital and Automated Materials Chemistry.
	2024 - 2029 Co-I in the hub AI for Chemistry: Alchemy, joint with Imperial College London.
	2024 - 2026 The Royal Society International Exchanges grant (£12K) for bilateral visits between our Data Science group and Prof Yoshua Bengio (Mila institute, Montreal, Canada), the Alan Turing award winner (Computer Science analog of Nobel's laureate) with the highest h-index in Computer Science. Title : Generative methods for materials design on geographic-style maps of crystals (IES\R1\241474).
	2023 - 2025 The Royal Society APEX fellowship replacing the teaching for two years (£100K). Title : New geometric methods for mapping the space of periodic crystals (ref APX\R1\231152). Outline. In 1869, Mendeleev arranged the known chemical elements into a spatial map – the periodic table - which grouped them according to their properties. The appearance of ‘gaps’ in the table spurred the discovery of new elements, while the attempt to understand the physical rationale behind its structure drove revolutionary advances in both physics and chemistry. We aim to extend Mendeleev’s idea to all periodic structures using spatial relationships between atomic nuclei.
	2023 - 2025 The Royal Society International Exchanges grant (£12K) for bilateral visits between our Data Science group at Liverpool and Prof Nicholas Kotov's lab at the University of Michigan (US). Title : Geometric invariants for interactions of proteins with inorganic nanoparticles (IES\R3\223215).
	2022 - 2025 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.

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

March 2023 : Dan Widdowson, Viktor Zamaraev, Matt Bright, Vitaliy, Olga Anosova, Will Jeffcott, Jonathan Balasingham

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

• September 2023 : the press release of the British Academy highlighted the Royal Society APEX fellowship "New geometric methods for mapping the space of periodic crystals" (one of eight awards across sciences and humanities).
• 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 had a budget of £715K+.
• 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 Senior Lecturer in the Department of Computer Science. 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. Joint papers : Scientific Reports 2024, Integrating Materials and Manufacturing Innovation 2024.
	University Teacher Dr Olga Anosova in the department of Computer Science, University of Liverpool. Olga completed a PhD in Dynamical Systems and taught big classes at several universities since 2005. Papers: IUCrJ 2024, JMIV 2023, DGMM 2022, CMMP 2022, DAMDID 2022, DGMM 2021, NumGrid 2021.
	Research assistant Dr Daniel Widdowson was funded by the EEECS school impact acceleration grant to collaborate with the Cambridge Crystallographic Data Centre. In 2020 - 2024, Daniel completed the PhD "Continuous Isometry Invariants of Periodic Crystal Structures" supervised by Vitaliy Kurlin (70%) and Andy Cooper (20%), and Isaac Sugden (10%). Papers : CGD 2024, DiD 2023, CVPR 2023, NeurIPS 2022, JACS 2022, DiD 2022, MATCH 2022.
	Research assistant Dr Yury Elkin was 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 supervised by Vitaliy Kurlin and Marja Kankaanrinta. Joint papers : ICML 2023, TopoInVis 2022, Mathematics 2021, MFCS 2020, TopoInVis 2019.
	Associate member Dr Matthew Bright is a postdoc in the EEE department at Liverpool. In 2018-2023 (including one year 2021-2022 as a university teacher), Matt completed the PhD "Continuous Spaces of Low Dimensional Lattices" supervised by Vitaliy Kurlin and Andy Cooper. Joint papers : Chirality 2023, ACA 2023, CMMP 2022, NumGrid 2021, CaG 2020.
	Associate member Dr Miloslav Torda is a postdoc in Andy Cooper's group. In 2018-2022, Milo completed the PhD Maximally dense crystallographic symmetry group packings for molecular crystal structure prediction supervised by Yannis Goulermas, Vitaliy Kurlin, Graeme Day. Joint papers : SISC 2023, PRE 2022

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

PhD student Mr Jonathan (Teddy) McManus (since October 2020) is supervised by Vitaliy Kurlin (60%), MIF director Andy Cooper (30%), and Isaac Sugden (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 Vitaliy Kurlin, Thomas McDonald, Sam Chong and Amanda Lane. 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 Jonathan Balasingham (since October 2021) is supervised by Viktor Zamaraev, Vitaliy Kurlin, MIF director Andy Cooper, and Isaac Sugden (Cambridge Crystallographic Data Centre, UK). 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). Papers: Scientific Reports 2024, IMMI 2024.
	PhD student Mr Adam Coxson (since October 2021) is supervised by Alessandro Troisi and 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 William Hope, Vitaliy Kurlin and 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 Anh Nguyen, Vitaliy Kurlin and 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 Sam Carruthers (since October 2019) is supervised by the MIF director Andy Cooper (80%) and 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 Andy Cooper, Vitaliy Kurlin, 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 Matthew Dyer, Vladimir Gusev, Vitaliy Kurlin, and 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.

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Join the group in Data Science theory and applications

If you know C++ or Python, and wish to apply for a PhD studentship or a postdoctoral fellowship at Liverpool, e-mail me.

External funding opportunities: we are looking for postdoctoral candidates with mathematical and programming skills.

• 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).

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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 : Professor Victor Buchstaber and Professor Arkady Skopenkov.
  Scientific school of the Fields medalist Sergey Novikov, see Math Genealogy.
• MSc in Mathematics, Independent University of Moscow, 1995 - 2002 (part-time)
  Thesis : Turaev-Viro invariants of compact 3-dimensional manifolds.
• MSc in Mathematics (top grade 5 in all courses), Moscow State University, September 1995 - June 2000
  Thesis : 3-page diagrams of spatial 3-valent graphs.
• Gold medal (top grade 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.

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Experience : CV and job history since 2000

• Vitaliy Kurlin's curriculum vitae (pdf, 10 pages, last updated in October 2024)
• Current research : Geometric Data Science for computer vision, materials chemistry and structural biology
• Past research : climate science, non-commutaive algebra, low-dimensional topology, graph embeddings
• Programming : C/C++ (industry level), Python, PHP, HTML5, CSS3, Python, Java, Matlab, Javascript
• Since 2016 : senior lecturer, then reader, now full professor, Materials Innovation Factory, Liverpool, UK
• 2014 - 2016 : visiting scientist in the Computer Vision group at Microsoft Research, Cambridge, UK
• 2007 - 2013 : university lecturer (assistant professor) in Mathematics, Durham University, UK
• June - September 2007 : research postdoc in Sensor Networks, Lancaster University, 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, Russia
• December 2003 - November 2004 : postdoc in Combinatorial Group Theory, University of Burgundy, France
• November 2000 - October 2003 : PhD student in Geometry and Topology at Moscow State University, Russia

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