Mirko

Mirko Klukas, Ph.D.

based in Berlin, Germany Cambridge San Francisco Vienna Cologne

Education

Apr 2009 — May 2012
Ph.D.
Mathematics
University of Cologne — Cologne, Germany
Graduated with great honor
Magna cum laude
Scholarship of the German Research Foundation
Scholarship of the German Research Foundation • Research in Contact & Symplectic Topology • Independently led all aspects of doctoral research — from ideation and problem formulation to proof and publication
Jan 2003 — Dec 2008
M.S.
Mathematics
University of Cologne — Cologne, Germany
Graduated with distinction
Awarded with a prize of the German Mathematical Society
Thesis awarded with a prize of the German Mathematical Society • Graduated with distinction • Minor in Graph Theory & Theoretical Computer Science
Jul 2010 — Jan 2011
Guest-doctoral Fellow
Mathematics
Georgia Institute of Technology — Atlanta GA, USA
Scholarship of the German Academic Exchange Service
Scholarship of the German Academic Exchange Service • Advised by John Etnyre

Research & Working
Experience (selected)

Mar 2023 — Nov 2024
Principal Research Engineer
Prob. Comp. / AI / ML
MIT | Massachusetts Institute of Technology — Germany, Remote
Defined and executed the perception research roadmap for ChiSight, a moonshot initiative under the MIT Quest for Intelligence, as part of the Probabilistic Computing Group, pushing the boundaries of symbolic AI using GPU-accelerated SMC methods • De-risked and developed multiple prototypes using JAX and CUDA, including SLAM agents, probabilistic perception models featuring differentiable rendering and multi-resolution Gaussian scene representations, and inference controllers.
Apr 2019 — Oct 2021
Postdoctoral Researcher
AI / ML / Comp. Neurosci.
MIT | Massachusetts Institute of Technology — Cambridge MA, USA
Neuroscience
Conducted research at the intersection of neuroscience and AI and introduced novel perspectives on the hippocampal formation as a spatially organized memory system — including theories of map fragmentation, surprisal-based remapping, and the representation of cognitive spaces • Performed neural data analysis (TDA, low-dimensional embeddings)
Nov 2017 — Mar 2019
Research Scholar
AI / ML / Comp. Neurosci.
Numenta — Redwood City CA, USA
Machine Intelligence,
AI,
ML,
Binary coding,
Time series prediction
Joined Numenta as a Research Scholar after a month-long research visit (Nov 2016) • Investigated spatial representations in the brain and their role in general cognitive computations and intelligence • Developed a formal framework for Numenta’s sequence memory from a compression-theoretic perspective.
Oct 2015 — Oct 2017
Postdoctoral Researcher
Mathematics
IST Austria | Institute of Science and Technology Austria — Klosterneuburg, Austria
Topological cluster methods,
Topological data analysis,
Binary coding,
Time series prediction
Research focused on TDA, topological clustering, sparse coding, and variable-order Markov models at the intersection of mathematics and computer science.
Sep 2014 — Aug 2015
Postdoctoral Researcher
Mathematics
University of Cologne — Cologne, Germany
Conducted research primarily in pure mathematics with a focus on contact and symplectic topology • Co-advised PhD students by providing research directions and technical guidance throughout project execution, resulting in two peer-reviewed publications.
Mar 2013 — Jan 2014
Technology and Management Consulting
Accenture — Düsseldorf, Germany
IT strategy
Digital strategies
Technology trends
Focused on digital strategies and technology trends as part of the IT Strategy department with project experience within chemicals- and pharma industry

Other

Misc
Hacker School
(Feb 2014 - Apr 2014), New York City NY, USA
Three-month, free, self-directed, educational retreat for intellectually curious people who want to get better at programming • Relevant projects: Monadic parser combinator in JavaScript inspired by Haskell • Lisp interpreter in JavaScript
Civilian Service
(Oct 2001 - Jul 2002), Leverkusen, Germany
Full-time • Individual care of an autistic child at a school for children with special needs
Coursera Certificates
• Neural Networks for Machine Learning
• Deep Learning Specialization:
• Sequence Models • Convolutional Neural Networks • Structuring Machine Learning Projects • Improving Deep Neural Networks • Neural Networks and Deep Learning
• Computational Neuroscience
• The Brain and Space
• Visual Perception and the Brain