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Portrait of Markus Dablander

Markus Dablander

MRes, MSc, BSc
Status
Postgraduate Student

Member of the Oxford Protein Informatics Group (OPIG)

Contact form
+44 1865 270509
Research groups
  • Data Science
  • Oxford Centre for Industrial and Applied Mathematics

Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Recent publications
Exploring QSAR Models for Activity-Cliff Prediction
Dablander, M Hanser, T Lambiotte, R Morris, G (31 Jan 2023)
Numerically solving parametric families of high-dimensional Kolmogorov partial differential equations via deep learning
Berner, J Dablander, M Grohs, P Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 1-13 (10 Dec 2020)
Numerically Solving Parametric Families of High-Dimensional Kolmogorov
Partial Differential Equations via Deep Learning
Berner, J Dablander, M Grohs, P (09 Nov 2020) http://arxiv.org/abs/2011.04602v1
Research interests
  • Machine learning and deep learning
  • Graphs and Networks
  • Cheminformatics and computational drug-discovery
Major / recent publications

Siamese Neural Networks Work for Activity Cliff Prediction
M. Dablander, G. M. Morris, R. Lambiotte, T. Hanser
Conference Poster at 4th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Symposium (Virtual, 2021)

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
J. Berner, M. Dablander, P. Grohs 
In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020 Proceedings). arXiv

Multivariate Network Analysis of Cerebral and Systemic Variables for Assessement of Injury Following Hypoxic Ischaemic Encephalopathy
M. Dablander, ​S. Mitra, G.​ Bale, M. ​Dinan, C. Uria-Avellanal, D. Price, M. Sokolska, A. Bainbridge, G. ​Kendall, J. Meek, I. Tachtsidis, N. Robertson
Talk given at Summer Meeting of The Neonatal Society (Brighton, UK, 2017)

Direct and Iterative Implementations of the Spectral Chebyshev Method for the 2D Poisson Equation
M. Dablander, I. Vrubleuski, V. Volkov
Conference Poster at International Scientific and Practical Conference (Brest, Belarus, 2015)

Teaching

C6.5 Theories of Deep Learning: Teaching Assistant, MT 2021

C5.4 Networks: Teaching Assistant, HT 2021

Prizes, awards, and scholarships

2022: Silver Medalist at the Smith Institute's 2021 TakeAIM Competition

2021: Winner of the Royal Society of Chemistry (RSC) Poster Prize at the 4th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Symposium

2016/2017: Most Outstanding MRes Research Student at the UCL Center of Mathematics and Physics in the Life Sciences and Experimental Biology (UCL CoMPLEX)

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