Hi, I'm Samuel. I am a research fellow at Harvard in Prof. Prineha Narang's group, and an incoming Ph.D. student at MIT (Massachusetts Institute of Technology) in Electrical Engineering and Computer Science. I am presently also a master's student in Physics and Data Science at EPFL (École polytechnique fédérale de Lausanne, if you like the sound of French). I currently spend most of my time in Cambridge, Massachusetts, but often travel around. My main areas of interest are Machine Learning and Quantum Computing.
I am originally from Germany but spent almost all of my life in other countries (Switzerland being my 9th country). When I was 5 years old, my family moved to Croatia. There I finished elementary and high school. I also went to school in South Africa and England for a while, as an exchange student. After graduating from high school, I worked as a volunteer teacher in an orphanage in Kenya, near Nairobi. During my undergraduate studies, I worked in Ice and Climate research at the University of Copenhagen in Denmark (see publications).
Afterwards, I joined the hedge fund D. E. Shaw & Co. in London and New York City for a while, where I created computer simulations of the bond and foreign exchange market. Before starting my master's degree at EPFL, I spent some time in the sunny and picturesque city of La Jolla, at University of California in San Diego. There, I worked on Machine Learning research (see publications) and enjoyed surfing in the Pacific Ocean.
Since September 2018, I am studying Physics and Data Science at EPFL in Switzerland. As a research assistant, I work in the group of Prof. Giovanni De Micheli on Quantum Computing. I am founder and president of the EPFL Quantum Computing Association and vice-president of the Debate and Model United Nations association. Also, in the Summer 2019, I worked at the National University of Singapore on Quantum Optimization Algorithms, with applications in finance.
Since February 2020, I work in Prof. Prineha Narang's group at Harvard on Near Term Quantum Algorithms for Optimization Problems. I am starting my Ph.D. in August 2020 at MIT!
2018 - 2020
EPFL (École polytechnique fédérale de Lausanne), Switzerland
2014 - 2017
University of Zagreb, Croatia
2010 - 2014
XV. High school (MIOC), Zagreb, Croatia
National University of Singapore (Visiting Researcher)
EPFL, Lausanne, Switzerland (Research Assistant)
University of California San Diego, USA (Visiting Researcher)
2017 - 2018
EPFL, Lausanne, Switzerland + Technical University Vienna, Austria (Internship)
D. E. Shaw & Co., London, UK & New York City, USA
Niels Bohr Institute, University of Copenhagen, Denmark (Research Internship)
2014 - 2017
University of Zagreb, Croatia (Student assistant, Physics competitions)
Mully Children’s Family Orphanage, Kenya (Volunteer work)
Music performance and recording of CDs
COMPETITIONS & AWARDS
EPFL Excellence fellowship
Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation)
Award for the best high school graduate in Croatia in 2014 (out of ~40 000 students)
Bronze medal at the 45th International Physics Olympiad 2014 (Kazakhstan)
1st place at the Croatian National Physics Competition
Bronze medal at the 44th International Physics Olympiad 2013 (Denmark)
1st place at the Croatian Championship in Triathlon
2012 - 2016
City of Zagreb scholarship
Bronze medal at the 45th International Physics Olympiad 2012 (Estonia)
Full professional proficiency
PUBLICATIONS (peer reviewed)
PUBLICATIONS (currently under peer review)
DRAFTS (> 90% of the work completed)
Convex Optimization Algorithms for Quantum Computers with Applications in Computational Finance
Global increase in atmospheric dust content over the last 300 years
* The following articles are in Croatian, so You might need to use Google Translate to understand them.
Dnevnik nove TV (the most watched news program in Croatia)
Dobro jutro, Hrvatska (the most watched morning program in Croatia)
Circuit optimization algorithms for Quantum Computers (Qiskit)
Text Sentiment Classification
Simulation of a Tokamak Fusion Reactor