CV
Education
2020 - Present: PhD in Physics, Laboratory of Statistical Biophysics (LBS), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2018 - 2020: M.Sc. in Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- 2016 - 2018: B.Sc.(Hons) in Physics with Theoretical Physics, The University of Manchester, Manchester, UK
- First-class degree
- 2014 - 2018: B.Sc. in Physics, Beijing Normal University, Beijing, China
- Joint degree program with the University of Manchester
- Result: 89.5/100 (major); Ranking: 4/28
Research & Projects
- Feb 2019 - July 2019: Thermodynamic Origins of Life I
- A semester research project at Lab of Statistical Biophysics (LBS), EPFL.
- Supervisors: Prof. Paolo De Los Rios and Dr. Daniel M. Busiello
- Result: arXiv:1912.04642 (2019)
- Feb 2018 - Jun 2018: Modelling of Bacterial Biofilms
- B.Sc. Dissertation at the University of Manchester
- May 2016 - May 2017: Complex Network Approach for the High Efficiency Light Harvesting System ,
- Undergraduate Research Project at Beijing Normal University. Supervisor: Prof. Qing Ai
- Applied network approach to find the communities in Photosystem I
- Identified several key chlorophylls as links between the antenna communities and reaction center of PS I.
- Funding: National Training Program of Innovation and Entrepreneurship for Undergraduates (No.201610027101)
Schools, Workshops & Conferences
- Sep 2019: IX GEFENOL Summer School on Statistical Physics of Complex Systems
- Universidad de Cantabria, Santander, Spain
- Aug 2019: Mathematics of Deep Learning
- Zuse Institute Berlin, Berlin, Germany
- Aug 2019: Bad Honnef Physics School: Physics of Bacteria
- Physikzentrum Bad Honnef, Germany
- Jul 2019: Hands-On Research in Complex Systems School
- ICTP, Trieste, Italy
- Poster: The cluster structure of high-efficiency photonsystem (PS I)
- Jun 2018: Introduction to Complex System Summer School
- Utrecht University, Utrecht, Netherlands
Skills
- Programming Language: Python, Mathematica, MATLAB, C++
- Computer Skills: LaTeX, Jupyter Notebook, Git, Linux, Microsoft Office
- Scientific Computing: Numpy, Scipy, Sympy, Monte Carlo Simulation, Molecular Dynamics Simulation
- Machine Learning: Pytorch, TensorFlow
Publications
- Busiello, Daniel Maria, Shiling Liang, Francesco Piazza, and Paolo De Los Rios. “Dissipation-driven selection of states in non-equilibrium chemical networks.” Communications Chemistry 4, no. 1 (2021): 1-7.
- Liang, Shiling, Daniel Maria Busiello, and Paolo De Los Rios. “The intrinsic non-equilibrium nature of thermophoresis.” arXiv preprint arXiv:2102.03197 (2021).
- Dass, Avinash Vicholous, Thomas Georgelin, Frances Westall, Frédéric Foucher, Paolo De Los Rios, Daniel Maria Busiello, Shiling Liang, and Francesco Piazza. “Equilibrium and non-equilibrium furanose selection in the ribose isomerisation network.” arXiv preprint arXiv:2010.13188 (2020).
Awards, Grants & Honours
- 2015-2018: Scholarship of National Scheme for Cultivating Top-notch Students in Basic Disciplines, China
- 2015: The Second Prize, The 8th Undergraduate Physical Experiment Competition of Beijing
- 2015: The Second Prize, China Undergraduate Physics Tournament
- 2014-2015 & 2015-2016: The Second Prize Scholarship in Beijing Normal University, China