Hi, I'm Samuel. I am a Ph.D. candidate at MIT (Massachusetts Institute of Technology) in Electrical Engineering and Computer Science. I am also the Co-Founder of the Swiss-American startup Assist-o. My current home is Cambridge, Massachusetts. 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 (the US being my 9th). When I was 5 years old, my family moved to Croatia through a German NGO, to help with post-war reconstruction. There I finished elementary and high school. I also went to school in South Africa 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, where I started a small coding school program for disadvantaged children.
During my undergraduate studies, I worked in Ice & Climate research at the Niels Bohr Institute, at the University of Copenhagen in Denmark (see publications). Afterwards, I joined the hedge fund D. E. Shaw & Co. in London for a while, where I created computer simulations of the bond and foreign exchange market. Before starting my master's degree in Switzerland, 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.
From 2018 until 2020, I did my master's degree in Physics and Data Science at EPFL in Switzerland. During my studies in Switzerland, I worked as a research assistant in the group of Prof. Giovanni De Micheli on Quantum Computing, and in the Summer 2019 at the National University of Singapore on Quantum Optimization Algorithms, with applications in finance.
In 2020, I joined Prof. Prineha Narang's group at Harvard University to write my master thesis about "Near Term Quantum Algorithms for Optimization Problems". Afterwords, I briefly returned to Croatia to work on my startup, Assist-o. In early 2021, I moved back to Cambridge MA, and started my PhD at MIT under supervision of prof. Seth Lloyd.
MIT (Massachusetts Institute of Technology), USA
2018 - 2020
EPFL (École polytechnique fédérale de Lausanne), Switzerland
2014 - 2017
University of Zagreb, Croatia
2010 - 2014
XV. High school (MIOC), Zagreb, Croatia
Assist-o, Switzerland & USA (Co-Founder & Board Member)
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
1st place at the IBM Qiskit Camp Europe Hackathon 2019
2018 - 2020
EPFL Excellence fellowship
2017 – 2020
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
Bronze medal at the 45th International Physics Olympiad 2012 (Estonia)
Full professional proficiency
Check my Google Scholar Profile for a more up-to-date list!
PUBLICATIONS (peer reviewed)
QuantHD: A Quantization Framework for FPGA Acceleration of Hyperdimensional Computing
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing
CompHD: Efficient Hyperdimensional Computing Using Model Compression
Particle shape accounts for instrumental discrepancy in ice core dust size distributions
PUBLICATIONS (currently under peer review)
Quantum polar decomposition algorithm
A Stochastic Acceleration Method for HD Computing-Based Machine Learning
Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer
DRAFTS (> 90% of the work completed)
Convex Optimization Algorithms for Quantum Computers with Applications in Computational Finance
* 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)