Igor Gotlibovych, PhD (cantab)

A multidisciplinary problem-solver with world-class analytical skills

✉️ igor.gotlibovych@gmail.com

📞 +44(0)7895 802 320

🌐 Cambridge/London/Munich

🗣 EN/DE/RU

 linkedin.com/in/ig248

 github.com/ig248

Expertise

📈 deep learning, applied machine learning, time series, forecasting, visualisation

📈 algorithms for finance, control systems, DSP, image processing, simulations

🔬 experimental and theoretical research in pure and applied topics

⚙️ shaping product development in multi-disciplinary teams

🛠 design and manufacturing of electronic, optical and mechanical systems

💬 multilingual writing and presentation, backed by experience in teaching and PR

💻 professional software development using modern tools and practices

python scikit-learn keras tensorflow k8s terraform AWS git TDD CI MATLAB C Mathematica LabVIEW

Experience

Jul 2020 - present$ Quantitative Researcher - Kvasir Technologies

  • researching and implementing systematic long-short equity strategies using a range of modern ML approaches
  • developing internal research and ML frameworks and tooling

Nov 2018 - Jul 2020 Head of Machine Learning - Octopus Energy*

Using deep learning and smart meter data to bring the energy industry into the 21st century.

  • developed and productionised ML models for trading, operational forecasts, and risk modelling
  • researched unsupervised and semi-supervised approaches to time series disaggregation
  • developed core algorithms and tools for flexible battery storage optimisation
  • contributed to a number of internal and open-source tools for ML and optimization
  • set up a scalable ETL and deep learning platform ground-up using open-source stack (AWS, k8s, airflow, argo, dask, Presto)

I presented some of our forecasting work at events including PyData London (video, slides) and Tensorflow London (slides).

Jul 2018 - Nov 2018 Head of Data Science - USIO Energy

Developed unique personalised energy demand forecasting technology ground-up. The core ML team and our IP were acquired by Octopus Energy

  • hands-on lead in a team of 6 Data Scientists, Software Engineers and Machine Learning Engineers
  • implemented core machine learning framework for reproducible model development and deployment
  • conceived, researched and implemented novel deep learning approaches to time series forecasting
  • hired key team members; introduced processes and best practices

Jan 2018 - Jul 2018 Senior Data Scientist - Jawbone Health

I developed machine learning solutions for novel medical diagnostics from wearable sensors.

  • developed and implemented a range of signal processing, Bayesian, and machine learning techniques applied to multi-channel clinical time series
  • developed a state-of-the-art deep learning algorithm for early diagnostics of atrial fibrillation
  • authored a conference paper and presented results at KDD2018

Feb 2016 - Jan 2018 Algorithm Development/Control Systems Engineer - Cambridge Mechatronics Limited

I developed novel optical image stabilization and autofocus systems, working with a multi-disciplinary team of firmware, software, and mechanical engineers.

  • designed and implemented multi-dimensional closed-loop control algorithms for highly nonlinear thermally actuated systems, using python/scipy and MATLAB for prototyping and C for embedded implementation
  • introduced ML methods to optimize performance of non-linear control systems
  • developed a range of python, MATLAB and C tools for real-time sensor data acquisition and processing
  • introduced data science and ML techniques for analysing manufacturing and QA data
  • designed and implemented image acquisition, feature extraction and analysis pipelines that enabled critical optimizations across a range of customer projects
  • developed physical models and simulations combining thermal, mechanical and electrical processes, using efficient numerical implementations in python/scipy
  • improved internal software development, testing and release processes, automating software, firmware and hardware tests from prototype PCB to handset level
  • co-authored several international patents (WO2018015762, WO2017212262)

Apr 2014 - Oct 2016 Professional Yacht Race Skipper - Clipper Ventures, various

After completing my PhD, I have pursued a number of sailing projects: restoring an ocean-going yacht, teaching sailing, and working as a professional race skipped for a round-the-world yacht race.

  • used a range of weather analysis, data collection and performance optimisation tools to ensure racing success, developed custom scripts for working with grib weather files
  • fixing critical electronic and mechanical systems in extreme conditions was part of my daily routine
  • oversaw budgeting, maintenance and day-to-day operations of a yacht with a crew of 20+ and a value in the 7 figures
  • trained and lead an international team of 60+ sailors
  • provided an engaging story for the stakeholders, customers and sponsors through regular blogs and multimedia

Sep 2010 - Apr 2014 PhD in ultra-cold atom physics - University of Cambridge

I completed my PhD thesis on “Degenerate Bose Gases in a Uniform Potential”. The appeal of my chosen research field lies in combining experimental work with advanced theoretical understanding of condensed matter physics.

  • developed custom image analysis tools and algorithms
  • designed, manufactured and assembled custom vacuum, electronic, laser, and imaging systems
  • implemented a real-time control and DAQ system with custom software and electronics
  • used a combination of analytical, numerical, and computer algebra methods to develop a theoretical framework for describing a novel class of thermo-dynamic systems
  • authored multiple articles in top peer-reviewed journals

Jun 2007 - Aug 2010 Summer Research Student - Max-Planck Institute for Quantum Optics

During my undergraduate years, I joined a Nobel-prize-winning research group in Munich as a summer student to work on developing new laser systems for precision metrology.

  • I wrote high-performance code in C and Mathematica to simulate non-linear atomic and optical phenomena, aiding in the development of new laser systems
  • Co-authored two papers and presented results at seminars

Sep 2006 - Jun 2010 MSci in experimental and theoretical physics - University of Cambridge

I took a combination of theory and math-intensive courses from the Mathematics and the Natural Sciences Tripos, achieving top grades throughout.

My Master’s thesis on “Microwave Manipulation of Ultracold Atoms” combined development of experimental microwave electronics, software control systems and a theoretical study of thermodynamics in reduced dimensionalities.

Sep 1994 - Jul 2006 High school diploma (Abitur) - Germany

I completed the German Abitur top of the year with a grade of 1.0 (equivalent to an A* average), majoring in maths and physics. During my school years, I have won numerous awards for mathematics and science competitions.

🏆 Awards and Achievements

  • Gates Cambridge Scholar
  • Sir Nevill Mott Prize for best Master’s thesis
  • Churchill College Scholar
  • top of the year in Cambridge for three years running
  • Scholar by the Cambridge European Trust
  • Scholar of the German Studienstiftung
  • Winner of the European Union Contest for Young Scientists
  • captain and winner of the German team in the International Young Physicists’ Tournament
  • three-time gold medallist in the International Physics Olympiad
  • part of the German selection for the International Mathematics Olympiad

⛵ Hobbies

Cycling, Mountaineering, Sailing

📄 Publications

  1. End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables, I. Gotlibovych et al., ACM SIGKDD (2018)

  2. Observing properties of an interacting homogeneous Bose-Einstein condensate: Heisenberg-limited momentum spread, interaction energy, and free-expansion dynamics, I. Gotlibovych et al., Phys. Rev. A 89, 061604(R) (2014)

  3. Quantum Joule-Thomson Effect in a Saturated Homogeneous Bose Gas, T. F. Schmidutz, I. Gotlibovych et al., Phys. Rev. Lett. 112, 040403 (2014)

  4. Bose-Einstein Condensation of Atoms in a Uniform Potential, A. L. Gaunt, T. F. Schmidutz, I. Gotlibovych, R. P. Smith, and Z. Hadzibabic, Phys. Rev. Lett. 110, 200406 (2013)

  5. A compact single-chamber apparatus for Bose-Einstein condensation of 87Rb, I. Gotlibovych et al., arXiv:1212.4108 [cond-mat.quant-gas] (2012)

  6. XUV frequency combs, A.Ozawa, A.Vernaleken, I.Gotlibovych, P.Hommelhoff, T.Udem, T.W.Hänsch, Proceedings of SPIE 7728, Conference on Nonlinear Optics and Applications IV (2010)

  7. Non-Collinear High Harmonic Generation: A Promising Outcoupling Method for Cavity-Assisted XUV Generation, A. Ozawa, A. Vernaleken, W. Schneider, I. Gotlibovych et al., Opt. Exp. 16, 6233-6239 (2008)