About me

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, in which I have seven publications and one pending patent.

 

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.

Samuel Bosch

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 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 also the founder and former president of the EPFL Quantum Computing Association and former vice-president of the Debate and Model United Nations association. 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!

 

Watch my TEDx talk from October 2019 at EPFL

CV

EDUCATION

Starting 2020

MIT (Massachusetts Institute of Technology), USA

  • Incoming Ph.D. Student
  • Department of Electrical Engineering and Computer Science

2018 - 2020

EPFL (École polytechnique fédérale de Lausanne), Switzerland

  • Master of Science: Physics & Data Science
  • Master thesis at Harvard University (02/2020 – 08/2020)
    • Graduate School of Arts and Sciences – Prof. Prineha Narang’s group
    • Thesis topic: Near Term Quantum Algorithms for Optimization Problems
  • EPFL Excellence Fellowship (best master’s students in the physics department)
  • GPA 5.5/6.0 (top ≈ 5%)
  • Specialization: Quantum Computing & Machine Learning
  • Associations and Societies:
    • Founder and President of the Quantum Computing Association
    • Member of the German Academic Scholarship Foundation (Studienstiftung) 

2014 - 2017

University of Zagreb, Croatia

  • Undergraduate studies: Physics
  • Final GPA: 4.9/5.0
  • Elected as Student Representative in 2017
  • Associations and Societies:
    • Founder of the Debate Society (politics, philosophy, economy, ...)
    • Member of the German Academic Scholarship Foundation (Studienstiftung)

2010 - 2014

XV. High school (MIOC), Zagreb, Croatia

  • Focus on Physics, Math and CS
  • International Physics Olympiads (IPhO): Kazakhstan 2014, Denmark 2013 and Estonia 2012: 3x Bronze Medal
  • Award for the best high school graduate in Croatia in 2014 (out of ~40 000 students)

WORK EXPERIENCE

Summer 2019

National University of Singapore (Visiting Researcher)

  • Research in Quantum Optimization Algorithms
  • Work at the Centre for Quantum Technologies in the group of Dr. Patrick Rebentrost and Prof. Miklos Santha

Since 2019

EPFL, Lausanne, Switzerland (Research Assistant)

  • Implementation of optimization and logic synthesis algorithms for Qiskit-Terra (an open source Python library for Quantum Computers maintained by IBM)
  • Work in the group of Prof. Giovanni de Micheli and Dr. Mathias Soeken

Since 2018

University of California San Diego, USA (Visiting Researcher)


2017 - 2018

EPFL, Lausanne, Switzerland + Technical University Vienna, Austria (Internship)

  • Solid State physics research: discovering and analyzing new materials
  • Work on Quantum Cryptography algorithms

2016

D. E. Shaw & Co., London, UK & New York City, USA

  • Monte Carlo simulations of complex derivatives in Python
  • Modeling changes in the foreign exchange and bond market

2015

Niels Bohr Institute, University of Copenhagen, Denmark (Research Internship)


2014 - 2017

University of Zagreb, Croatia (Student assistant, Physics competitions)

  • Organization of the preparations for the International Physics Olympiad
  • 2 of my students won bronze medals at the International Physics Olympiad and received full scholarships for their studies at University of Cambridge
  • Teaching Physics I & II: Classical Mechanics, Electromagnetism (~80 students)

2014

Mully Children’s Family Orphanage, Kenya (Volunteer work)

  • Taught computer programming, mathematics and physics to 125 high school students
  • Organized programming courses for students, to give them a chance to see what programming is and motivate them to pursue a career in it, as it requires few resources

Until 2015

Music performance and recording of CDs

  • Participated as a singer on 3 CD recordings for humanitarian purposes 
  • Participated in 15 humanitarian musicals and concerts as an actor, singer or technician

COMPETITIONS & AWARDS

2019

1st place at the IBM Qiskit Camp Europe Hackathon 2019

  • Qiskit – PyTorch integration for Machine Learning
  • Project available on GitHub

Since 2018

EPFL Excellence fellowship

  • Awarded to the best master’s students of every department (less than 1%)

Since 2017

Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) 

  • Awarded to the best ~0.5% students in/from Germany
  • The selection is based on excellent academic records, social engagements, rhetorical and social skills, academic and sport competitions, and other personal accomplishments.

2014

Award for the best high school graduate in Croatia in 2014 (out of ~40 000 students)

  • Selection was based on final exam results, science and sport competitions and social commitment

2014

Bronze medal at the 45th International Physics Olympiad 2014 (Kazakhstan)


2014

1st place at the Croatian National Physics Competition


2013

 Bronze medal at the 44th International Physics Olympiad 2013 (Denmark)


2013

1st place at the Croatian Championship in Triathlon


2012 - 2016

City of Zagreb scholarship

  • Awarded to top ≈ 1% students in Zagreb (the capital of Croatia)

2012

 Bronze medal at the 45th International Physics Olympiad 2012 (Estonia)


LANGUAGES

English

Full professional proficiency

German

Bilingual proficiency

Croatian

Bilingual proficiency

French

Elementary proficiency

 


PUBLICATIONS

PUBLICATIONS (peer reviewed)

11/2019

QuantHD: A Quantization Framework for FPGA Acceleration of Hyperdimensional Computing


11/2019

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing

  • Conference: IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • M. Imani, S. Bosch, M. Javaheripi, B. Rouhani, X. Wu, F. Koushanfar, T. Š. Rosing
  • Research done at University of California, San Diego
  • Contribution: We developed a new semi-supervised Machine Learning algorithm. We noticed a significant increase in performance, as compared to state-of-the-art algorithms.
  • My contribution: I was responsible for coding the entire project, improving the mathematical algorithm and testing it against other state-of-the-art algorithms

10/2019

AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing

  • Conference: IEEE Biomedical Circuits and Systems (BioCAS)
  • M. Imani, J. Morris, S. Bosch, H. Shu, G. De Micheli, T. Š. Rosing
  • Research done at University of California, San Diego and EPFL, Lausanne
  • Contribution: Improvement to previous Hyperdimensional computing-based Machine Learning algorithms by introducing adaptive learning rates. We managed to significantly decrease the convergence time during training.
  • My contribution: I was the first person to introduce the concept of learning rates in HD computing and performed the initial tests with adaptive learning rates. My colleagues at UCSD developed the rest of the project and wrote the paper.

07/2019

CompHD: Efficient Hyperdimensional Computing Using Model Compression

  • Conference: IEEE/ACM International Symposium on Low Power  Electronics and Design (ISLPED)
  • J. W. Morris, M. Imani, S. Bosch, B. L. Baxter, H. Shu, T. Š. Rosing
  • Research done at University of California, San Diego
  • Contribution: We invented an algorithm for ultra-low-power devices with limited memory to perform offline Machine Learning. It does so by compressing multiple vectors into just one vector by encrypting them with randomized vectors, and then decrypting them during inference.
  • My contribution: I was responsible for coding most of the project and improving the mathematics and statistics behind the algorithm. I invented an orthogonalization method, which significantly improved the classification accuracy by decreasing the influence of noise caused by the randomness.

05/2018

Particle shape accounts for instrumental discrepancy in ice core dust size distributions

  • Journal: Climate of the Past / European Geosciences Union
  • M. F. Simonsen, L. Cremonesi, G. Baccolo, S. Bosch, B. Delmonte, T. Erhardt, H. A. Kjær, M. Potenza, A. Svensson, P. Vallelonga
  • Research done at the Niels Bohr Institute, University of Copenhagen
  • Contribution: Significant progress in measurement techniques for ice and climate science.
  • My contribution: I was the first person to have had a detailed look into the dust particle size distribution from ice cores from the North Pole. I found out that laser measurement techniques used for the past 20 years have been very inaccurate. My colleagues theoretically and experimentally confirmed this and wrote the paper on it.

PUBLICATIONS (currently under peer review)

2019

A Stochastic Acceleration Method for HD Computing-Based Machine Learning

  • arXiv:1911.12446
  • Submitted to the IEEE Design Automation Conference (DAC)
  • S. Bosch, A. Sanchez de la Cerda, M. Imani, T. Š. Rosing, G. De Micheli
  • Research done at EPFL
  • Contribution: We developed a new stochastic retraining method for improving the classification accuracy of HD computing-based Machine Learning algorithms which decreases the convergence rate during training by 50% and improves the overall classification accuracy of the algorithm.
  • My contribution: I invented the algorithm, developed the theory and wrote the paper. The algorithm was implemented and evaluated by my colleagues at EPFL and UCSD.

2019

Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer

  • arXiv:1912.06105
  • E. Gårding, N. Schwaller, S. Chang, S. Bosch, W. R. Laborde, J. N. Hernandez, C. L. Chan, F. Gessler, X. Si, M. A. Dupertuis, N. MacrisResearch done at EPFL
  • Contribution: We developed efficient circuits for measuring entanglement and discord of quantum states and implemented them on IBM quantum computers.
  • My contribution: I co-organized the research project with the EPFL Quantum Computing Association, wrote two sections of the paper and helped with the theory and implementation on real IBM quantum computers.

DRAFTS (> 90% of the work completed)

2019

Convex Optimization Algorithms for Quantum Computers with Applications in Computational Finance

  • P. Rebentrost, S. Bosch, S. Lloyd
  • Research done at CQT, NUS and MIT
  • Contribution: We exhibit a quantum algorithm for solving convex optimization problems by exploiting game theory and quantum chemistry algorithms.
  • My contribution: I helped developing parts of the algorithm and tested it. Also, I worked on the underlying mathematical theory and helped with the applications in finance.
  • I presented the preliminary results in the IWQC workshop at the ICCAD conference 2019.
  • Topic of my seminar talk at Stanford University (Gates CS building) in November 2019 (hosted by Prof. Subhasish Mitra).

2019

Global increase in atmospheric dust content over the last 300 years

  • S. Bosch, M. F. Simonsen, H. A. Kjær, A. Svensson, P. Vallelonga
  • Research done at the Niels Bohr Institute, University of Copenhagen
  • Contribution: Discovery of a large increase in atmospheric dust content, which will have significant impact on our climate.
  • My contribution: I made the discovery, analyzed all the data and wrote the entire paper. We are waiting with the submission to Nature Climate Change, as we still need more measurements from the North Pole, which cannot be done before April/May 2020.

SELECTED MEDIA APPEARANCES

* The following articles are in Croatian, so You might need to use Google Translate to understand them.


Samuel Bosch in tportal.hr (2014)
Article in www.tportal.hr (2014)
Samuel Bosch article in 100posto
Article in dnevnik.hr (2014)
Samuel Bosch in index.hr in 2014
Article in index.hr (2014)


Dnevnik nove TV (the most watched news program in Croatia)

 

Dobro jutro, Hrvatska (the most watched morning program in Croatia) 



Samuel Bosch in 100posto.hr (2017)
Article in www.100posto.hr (2017)
Samuel Bosch ministar Jovanovic
Award from the Croatian minister of education (2013)

projects

ONGOING PROJECTS

2019

Circuit optimization algorithms for Quantum Computers (Qiskit)

  • Implementation of optimization and logic synthesis algorithms for Qiskit-Terra: an open source Python library for Quantum Computers maintained by IBM
  • Work in the group of Prof. Giovanni de Micheli and Dr. Mathias Soeken at EPFL
  • My pull requests and contributions can be found on GitHub

COMPLETED PROJECTS

2019

 Numerical simulations of quantum devices on high performance clusters

  • Work at EPFL in the group of prof. Tobias Kippenberg
  • Parallelization of simulations on large computing clusters

2018

Text Sentiment Classification 

  • We developed an algorithm which can analyze the meaning of Tweets
  • Using TensorFlow, Keras & GloVe

2018

Inverse statistical methods for protein simulations

  • Work at EPFL in the group of prof. Paolo De Los Rios (supervisor dr. Stefano Zamuner)
  • Project available on GitHub

2016

Simulation of a Tokamak Fusion Reactor

  • I created a tokamak fusion reactor simulation in Matlab. It demonstrates how charged high-energy particles can be held in a magnetic bottle (the Tokamak), without touching its walls and melting them due to extremely high temperatures. The magnetic field has a very complicated shape, as it is created by multiple current coils and a rotating charged plasma cloud.
  • A simplified version of the code is available on GitHub