Robin Eriksson
PhD student at Department of Information Technology, Division of Scientific Computing
- Email:
- robin.eriksson[AT-sign]it.uu.se
- Telephone:
- +4618-471 2978
- Visiting address:
- Room
POL 2404 ITC, Lägerhyddsvägen 2, hus 2
752 37 UPPSALA - Postal address:
- Box 337
751 05 UPPSALA
Short presentation
I'm a PhD student at the division of Scientific computing.
My interest lies in Bayesian inference methods and machine learning with a focus on computationally intensive applications, as in epidemiology, biology and finance.
If you're looking for thesis projects (BSc, MSc) then I'm interested in supervising applied probability projects (machine learning, Bayesian inference, probabilistic modeling) in epidemiology, biologY or finance
Keywords: scientific computing data science machine learning bayesian inference
I started my studies at Uppsala in 2012. In 2017 I finished my M.Sc in Engineering degree with specialization Engineering physics, and then I started as a Ph.D. student at the division of Scientific Computing.
- Bayesian Infererence for systems with intractable likelihoods
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