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SUMMARY

Date of Birth: October 29, 1989 – in Zürich, Switzerland Citizenships: Switzerland, Italy (from mother), and Chile (from father)

Kilian studied Operations Research at UC Berkeley and Mechanical Engineering at ETH Zürich. Currently, he is a PhD candidate at EPFL (École Polytechnique Fédérale de Lausanne) in Switzerland, where he works together with Prof. Daniel Kuhn on dynamic data-driven optimization under uncertainty. 

Specifically, Kilian develops quantitative methods to handle the increasing dimensionality of modern optimization problems and to ensure their robustness against uncertainty. Impact areas of his work so far include Operations Research, Machine Learning, and the Renewable Energy Sector. 

Kilian grew up in Zürich, Switzerland, and is the oldest son of his Italian mother and Chilean father. He is fluent in five languages, passionate about teaching, and in his spare time he likes to row, hike, and travel.

EDUCATION

  1. 2002
  2. 2008
  3. 2012
  4. 2015
  5. 2016
  6. 2017
  7. 2018
  8. 2019

  1. Matura (High-School Graduation), Freies Gymnasium Zürich. 

    Overall GPA: 5.89 (max: 6.0) – best of the overall promotion. 

    2002 – 2008

  2. B.Sc. in Mechanical Engineering, ETH Zürich

    Overall GPA: 5.20 (max: 6.0) – among top 10% of the overall promotion. 

    Thesis: Programming a 7-axis robot arm to find the shortest path in a maze using haptic feedback. 

    Coursework: Calculus | Linear Algebra | Probability and Statistics | Physics | Mechanics | Electronics | Thermodynamics | Fluid Dynamics | System Dynamics and Control | Manufacturing 

    Sep/2008 – Sep/2011 

  3. M.Sc. with Distinction in Mechanical Engineering, ETH Zürich

    Overall GPA: 5.81 (max: 6.0) – among top 3% of the overall promotion. 

    Thesis: Chattering Dynamics and related Nonlinear Motion in the Bouncing Ball System 

    Paper: K. Schindler, R. Leine. Paradoxical Chaos-Like Chattering in the Bouncing Ball System. ASME International Design Engineering Technical Conferences. August 2018. 

    Coursework: Theory of Robotics and Mechatronics | Dynamic Programming and Optimal Control | Model Predictive Control | Recursive Estimation | Linear Systems Theory | Nonlinear Dynamics | Dynamics of Multi-Body / Structure-Variant Systems | Orbital Dynamics 

    Feb/2012 – Dec/2013

  4. M.Eng. in Industrial Engineering and Operations Research, UC Berkeley

    Overall GPA: 3.88 (max: 4.0) – among top 3% of the overall promotion.

    Capstone: Fault-Tolerant Localization in Autonomous Driving using GPS, Camera, and LIDAR. 

    Coursework: Optimization Analytics | Mathematical Programming | Applied Stochastic Processes | Computational Optimization | Learning and Optimization | Engineering Leadership. 

    Aug/2015 – May/2016 

  5. Ph.D. in Operations Research, EPFL (École Polytechnique Fédérale de Lausanne)

    Supervisor: Prof. Daniel Kuhn – Chair of Risk Analytics and Optimization. 

    Research: Dynamic Data-Driven Optimization under Uncertainty (Scalability and Robustness). 

    Papers: K. Schindler, N. Rujeerapaiboon, D. Kuhn, W. Wiesemann. A Day-Ahead Decision Rule Method for Multi-Market Multi-Reservoir Management. Working Paper.
    Coursework: Advanced Topics in Machine Learning | Mathematics of Data | Data Science for Business | Optimization Methods and Models | Optimization and Simulation | Advanced Probability and Applications | Supply Chain Management | Microeconomics | Econometrics.

    Sep/2016 – present

  6. Ph.D. in Operations Research, EPFL (École Polytechnique Fédérale de Lausanne)

    Conferences: Modern Convex Optimization and Applications | The Fields Institute, Canada | July 2017.
    Computational Management Science | University of Bergamo, Italy | May 2017.
    Teaching: Applied Probability and Stochastic Processes | Dr. Napat Rujeerapaiboon | Fall 2017.
    Data Science for Business | Prof. Kenneth Younge | Spring 2017.

    Sep/2016 – present

  7. Ph.D. in Operations Research, EPFL (École Polytechnique Fédérale de Lausanne)

    Papers: N. Rujeerapaiboon, K. Schindler, D. Kuhn, W. Wiesemann. Scenario Reduction Revisited: Fundamental Limits and Guarantees. Mathematical Programming. April 2018.
    Conferences: Intern. Symp. on Mathematical Programming | University of Bordeaux, France | July 2018.
    Computational Management Science | NTNU Trondheim, Norway | May 2018.

    Sep/2016 – present

  8. Ph.D. in Operations Research, EPFL (École Polytechnique Fédérale de Lausanne)

    Papers: N. Rujeerapaiboon, K. Schindler, D. Kuhn, W. Wiesemann. Size Matters: Cardinality Constrained Clustering and Outlier Detection via Conic Optimization. SIAM Journal on Optimization. April 2019.
    Conferences: Intern. Conf. on Continuous Optimization | TU Berlin, Germany | August 2019.
    Intern. Conf. on Stochastic Programming | NTNU Trondheim, Norway | July 2019.
    Teaching: Best Teaching Assistant Award 2019 | awarded annually by the graduating student cohort Convex Optimization | Prof. Daniel Kuhn | Fall 2018; Fall 2019.
    Data Science for Managers | Prof. Kenneth Younge | Fall 2018; Spring, Summer, Fall 2019.

    Sep/2016 – present

EXPERIENCE 

Aug/2015 – May/2016 Member of the Autonomous Driving Capstone Team at UC Berkeley – CA / USA
The advancement of Autonomous Driving Technology involves finding solutions to many challenges and integrating them into a safe overall system. Our team worked towards a solution for localization, that is, determining in real time the exact location of the vehicle. By fusing GPS, camera, and LIDAR sensors, we developed an algorithm to handle the potential loss of the GPS signal and implemented it as a stand-alone software module, which was deployed on a prototype autonomous car and used for ongoing research.
May/2014 – Jul/2015  Full-time position as Vehicle Dynamics Engineer at Stadler Rail – Switzerland
Modeling the train as multi-body mechanical system, simulating its dynamic behavior using appropriate software and conducting the required prototype tests to ensure safety against derailment, optimal riding comfort, running stability, and other specific properties. The obtained insights determine various design parameters of the train suspension and inform the legal authorization procedure for operating the train. 
2009 – 2013  A total of 14 appointments as Teaching Assistant across 7 different courses at ETH Zürich
Appointments were with three different institutes, namely: Institute for Dynamic Systems and Control, Institute of Mechanical Systems, and Institute of Machine Tools and Manufacturing.  The main responsibilities included: preparation and delivery of weekly classes to groups of 30+ students; supervising and correcting mid-term exams; and acting as first person of contact for students. Over the years I had the pleasure to teach more than 500 hours to a total of about 600 students at ETH Zürich. 
Sep/2011 – Jan/2012 Industrial Internships 
R&D internship at Trumpf Maschinen AG in Baar/Zug
Winter 2009 Industrial Internships 
Production floor internship at Kaba AG in Wetzikon/Zürich

OTHER 

Languages:
Fluent in English, German, Italian, Spanish, and French. 
Software:
Matlab, Python, C/C++ | Gurobi, Cplex, Mosek | MS Office, LaTeX. 
Interests:
Technology, International Affairs, Teaching, Sports (Rowing/Hiking), and Travelling.  – Member of the “Zunft zum Kämbel” (one of Zürich’s traditional “Guilds”) – since 2010.  – Board Member of the Alumni Association of the Freies Gymnasium Zürich (2011 – 2016). – Vice-President of the Student Association of the Freies Gymnasium Zürich (2006 – 2008).  – Selected and annually confirmed as Member of the Swiss Study Foundation (2009 – 2014).  – Member of the local Polling Bureau at the commune of Kilchberg/Zürich (2010 – 2018).  Have travelled extensively across Europe, have been several times in North- and South-America, and have visited wide parts of Australia, some countries in South-East Asia, as well as the Gulf Emirates.

Pelicula

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