Tobiáš Unger

Student at University of Warwick

Prague, Czechia

About

I am a third-year Mathematics and Statistics student at the University of Warwick, particularly interested in Mathematical Analysis, Stochastic Processes, and applications of Markov Chain Monte Carlo methods. I completed my first year of studies with an impressive average of 93.5%, earning recognition as one of the two recipients of the highest first-year prize for outstanding performance from the Department of Statistics. In my second year I was the sole recipient of the equivalent of the above mentioned prize with an average of 94.8%. My academic journey at Warwick is supported by competitive scholarships from The Bakala Foundation, The Kellner Family Foundation, and the Warwick Undergraduate Global Excellence Scholarship. In addition to my academic achievements, I serve as a course representative on the Student-Staff Liaison Committee and as President of the Warwick Czech and Slovak Society. I am also a student mentor and ambassador and currently, I am working as a freelance tutor with 5+ years of experience. Outside of my academic pursuits, I am an enthusiastic rock climber.

Experience

  • Student-Staff Liaison Committee - Course Representative at University of Warwick

  • Student Mentor and Ambassador at University of Warwick

  • Academic Support Officer at Warwick Statistics Society

  • Research Intern at Charles University

    In collaboration with Martin Koutecký, we explored using the Nevergrad optimization library to create difficult benchmark instances for solvers tackling NP-complete problems, particularly k-SAT and Minimum Independent Set (MIS) problems.

  • Summer Intern at Banish

    As part of the TeaMWork program at The University of Warwick, I collaborated with three students from Monash University to develop a comprehensive Fiscal Year 23/24 report for the BRAD project, initiated and run by Banish.

  • Summer Intern at Lancaster University

    During a seven-week research internship at the STOR-i CDT, supervised by Joe Rutherford, I investigated optimal inventory policies for spare parts management in machinery systems. My work focused on a periodic review inventory model with all-or-nothing, geometrically distributed lead times, formulated within the standard Markov Decision Process framework. In addition to analysing optimal policies across various parameter settings, I explored approaches to mitigate high-dimensionality challenges and considered a novel method for eliciting downtime costs, which could be investigated in further research. I concluded the intership by formulating my findings into an academic poster and presented them at the annual STOR-i intern project presentations session.