Associate Professor
Engineering East Hall, Room E4252, Richmond, VA, UNITED STATES
Dr. Arodz's research focuses on machine learning and bioinformatics
VCU Computer Science Department
2020-01-01National Science Foundation
2015-01-01Laureate of the Award for Ph.D. Dissertation
2008-01-01Laureate of the Young Researcher Scholarship
2006-01-01Ph.D., Computer Science
2007
M.S., Computer Science
2003
M.S., Biotechnology
2009
Style Weekly print
2017-12-19
By now the journey to 2018 can feel more like a crawl than a mad dash. There's pressure to entertain family, reconnect with old friends and take that special someone on a memorable date. But a Richmond startup says artificial intelligence can solve the indecision over where to go and what to do. While some experts caution against placing exaggerated faith in artificial intelligence, early adopters are hoping for a more perfect holiday experience. . . . Just remember, if you're struggling to plan a not-so-silent night, don't give up on your gut, says Tom Arodz, another VCU professor who studies machine learning. "AI may learn to never recommend a symphony to heavy-metal lovers," Arodz says. "But just like with human instinct, it is often difficult to say why any particular recommendation is made."
view moreConference on Research in Computational Molecular Biology RECOMB'2022
We proposed a new group testing approach tailored for scenarios where quantitative measurements are available (e.g. Ct values in PCR tests). It allows using much fewer tests than there are samples to be tested.
view moreConference on Neural Information Processing Systems NeurIPS'2021
We designed a technique for reducing the size of embedding matrices and self-attention weight matrices in deep Transformer-based language models using a much more compact yet expressive representation based on Kronecker/tensor products.
view moreQuantum Machine Intelligence 3:1-11, 2021
We formulated and analyzed a quantum machine learning algorithm for training semi-supervised SVM based on quantum HHL/LMR protocol.
view moreInternational Conference on Machine Learning ICML'2020
We used techniques from topology (embedding of homeomorphisms into flows) to analyze whether two popular recent architectures for creating invertible deep nets, neural ordinary differential equations and invertible ResNets, have the capability to model arbitrary invertible function.
view moreNature Medicine 25:1012-1021, 2019
As part of a large microbiome study by VCU cMEDA team, we created a machine learning model to quantify effects of human microbiome composition on pregnancy outcomes.
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