Carlo Lancia

Data Science | Statistics | Modelling | Simulations

I am a versatile researcher, with a marked predisposition for problem solving.

Experience

I graduated in Engineering Mathematics in 2009 with a thesis on a novel Markov Chain Monte Carlo heuristic algorithm for the Steiner Tree Problem. In the following 4 years I have completed my PhD between the University of Rome Tor Vergata and the Technical University of Eindhoven. My phD project, Looking through the cutoff window, focussed on abrupt convergence to equilibrium of Markov chains. The thesis contains result of interest for many-particle systems and queuing theory, and applications to the domain of Air Traffic Management (ATM).

Between 2013 and 2015 I have worked as a PostDoc at the University of Rome Tor Vergata on many-particle systems with parallel evolution dynamics , aka Probabilistic Cellular Automata (PCA). I have contributed to the identification of Ising waves and fast tunnelling of a certain class of PCAs. In the same period, I have also worked on ProGA, a WP-E project founded by SESAR-JU, where I contributed in analysing leisure-flight data and developing a prediction engine for trajectories of General Aviation aircraft.

In June 2015 I moved to the Leiden University Medical Center to work on a project, founded by the Dutch Foundation KiKa, on the effect of treatment adaptation on survival outcome in pediatric cancers. The project features collaboration with important research institution such as European Organisation for Research and Treatment of Cancer, Medical Research Council, and University College London Hospital.

Since October 2017 I am based at the Mathematical Institute Leiden University. My current research interests cover applied projects in Medical Statistics and Survival Analysis, and projects on Stochastic Optimisation and Data Science in the ATM domain.

My Curriculum Vitae.

I am part of the DASPO research group. Check our website to know more about us!

Skills

I have both strong analytical and programming skills, with a long-standing experience in scientific scripting/ programming with different languages, like C/C++, Fortran, Python, and R (and their interoperability)..

Some of my past and current research interests are

  • the design of algorithms for approximate sampling and combinatorial optimisation;
  • definition and characterisation of stochastic models for observables and phenomena of interest;
  • simulation and what-if studies for analysis of complex systems;
  • analysis of time series and longitudinal data;
  • data analysis and statistical (sometimes causal) inference;

In my daily workflow, I take care of my projects all round

  • collection of model requirements and their validation;
  • data cleaning, manipulation, and validation;
  • model analysis or estimation, characterisation of its analytical properties and validation;
  • data and results visualisation;
  • reporting to colleagues/coworkers with non-mathematical background.

Contacts

I sit in room 230 A, at the second floor of the Mathematical Institute Leiden University

Niels Bohrweg 1, 2333 CA, Leiden, NL.

For contacting me, shoot an email at

daspo [at] math [dot] leidenuniv [dot] nl