Teaching

Curriculum Vitae

Publications

inSPIRE

Arxiv

google

Office: 2055 New Physics Building
Tel: (352) 392-5709
Web: www.phys.ufl.edu/~matchev
E-mail: matchev@ufl.edu

Awards and Distinctions

	2022: ARIEL Machine Learning Data Challenge certificate
	2021: NVIDIA Deep Learning Institute certificate
	2018-21: UF Term Professor
	2018-21: UF Research Foundation Professor
	2017: UF Postdoc Mentoring Award
	2015: Fellow of the American Physical Society
	2012: UF Doctoral Mentoring Award
	2004: Outstanding Junior Investigator, Department of Energy

Recent Teaching

Spring 2024: PHY 4222 Mechanics II

Spring 2023: PHY 7097 Special Topics (High Energy Theory)

Fall 2022: PHY 7097 Machine Learning

Spring 2022: PHY 4905 Machine Learning

Fall 2021: PHY 7097 Machine Learning

Spring 2021: PHY 4905 Machine Learning

Fall 2020: PHY 7097 Quantum Computing for Physicists

Fall 2020: PHY 7097 Machine Learning

Current Research

	Machine learning applications in high energy physics: machine learning truth and beauty in flavor physics symbolic regression for modelling particle kinematics deep-learned kinematic variables deep-learned categorization in high-energy physics
	Quantum Computing and Quantum Information my Fall 2020 course on quantum computing quantum vision transformers equivariant quantum neural networks equivariant quantum graph neural networks quantum algorithm for hypothesis testing QUBO problems
	Symmetry discovery with machine learning group-theoretic structure of machine-learned symmetries machine learning the exceptional Lie groups machine learning sparse symmetry representations machine learning symmetries in the latent space machine learning symmetries from first principles
	Fundamental AI InferoStatic Networks; multiparameter inference uncertainty quantification of GANs deep-learned mixture model estimation
	Monte Carlo simulations and sampling variance reduction with control variates in Vegas optimal importance sampling reweighting
	AI for Exoplanets: transit spectroscopy, exobiology detection of novel chemistry in exoplanet atmospheres machine learning in lieu of Bayesian retrievals characterization of exoplanet atmospheres exploratory data analysis of exoplanet transit spectra symbolic regression for modelling radiative transfer
	Spatial statistics and computational geometry edge detection with Voronoi tessellations wombling with Delaunay triangulations
	Dark matter detection with superfluid He: theory and phenomenology identification at colliders
	Phase space kinematics MTN kinematic variables singularity variables focus point method for mass measurements
	Review papers on collider phenomenology kinematic variables and feature engineering supersymmetry at the LHC universal extra dimensions at the LHC transverse mass variables

Research in the news

	Universe Today (August 2023) The Most Compelling Places to Search for Life
	UF Explore magazine (December 2022) Signs of Life
	UF Physics News (December 2022) Exoplanets Research Team Wins Machine Learning Data Challenge
	UF News (August 2022) Florida Scientists Delve into the Cosmos
	AAS Nova Research Highlights (July 2022): A Simpler Way to Analyze Spectra
	medium.com (April 2022) 5 Papers to Read on Dimensionality Reduction
	PRL Highlights (April 2016) Explaining a 750 GeV Bump
	Physics World (February 2011) Will the LHC find supersymmetry
	"Viewpoint" (November 2010) Meet a superpartner at the LHC
	"New Scientist" (September 2010) LHC could hit the jackpot this year
	Science & Vie (Fall 2005) Boson de Higgs: Et s'il n'existait pas
	SpaceDaily (May 2003) Florida physicist says ...
	"New Scientist" (November 2002) Antarctic neutrino trap ...
	Physical Review Focus (November 2002) Detecting Dark Dimensions