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Stream: event: Categorical Probability and Statistics 2020 workshop

Topic: Introductions


view this post on Zulip Tobias Fritz (May 08 2020 at 18:41):

Hi all! Here, participants and speakers can introduce themselves and their interests.

Just briefly summary your background and interests, and feel free to point to other resources such as your website, papers, or anything else. In case that you'd be interested in arranging personal meetings with other participants, you may also want to propose a topic.

Looking forward to meeting you!

view this post on Zulip Paolo Perrone (May 20 2020 at 22:18):

Hello all! I'm a postdoc at MIT, working in David Spivak's group. During my PhD in Leipzig I met Tobias Fritz, and since then we have been working together on a number of projects, mostly involving probability monads, and more recently, Markov categories.
Mathematically, I'm mostly interested in category theory, probability and information theory, and differential geometry.
If you want to take a closer look at my research, here's my homepage: http://www.paoloperrone.org.

view this post on Zulip Tobias Fritz (May 28 2020 at 22:07):

Hi everyone! I'm organizing this workshop, together with Rory Luchyshyn-Wright as co-organizer and Paolo Perrone as tech support.

I'm currently a senior postdoc at the Perimeter Institute for Theoretical Physics. Despite a strong interest in the foundations of physics, I now mainly do pure math with a view on its applications.

My two focus areas are:

In categorical probability, Paolo and I have been working on various probability monads for a few years. More recently, I have been developing Markov categories, and I have come to regard them as forming the most promising approach to categorical probability.

During this workshop, I hope to learn more about the demands and perspectives of other fields on categorical probability, including probabilistic programming, applied statistics and noncommutative/quantum probability.

view this post on Zulip Bradley Saul (Jun 02 2020 at 14:03):

Hi everyone,
I'm a statistician by training and a statistical software developer by trade. I'm interested in developing software with strong theoretical underpinnings with strong safety guarantees -- this is something all too often lacking in statistical software and scientific software in general. I backed my way into category theory by way of functional programming by way of "discovering" the functional paradigm for myself as way to represent and code up M-estimators. My research interests also include looking at causal inference through a category theoretic lens and applications to applied and theoretical ecology (though as a workaday programmer, I don't have much time for these interests).

During the workshop, I hope to finally understand what a statistical model is.

view this post on Zulip Ben Sprott (Jun 02 2020 at 14:47):

Hi,
My name is Ben Sprott and I am an automation developer. I have recently started an AI company and have partnered with Conexus. My background is in Physics, in which I have an MSc from Waterloo and was a member of PI as a student working with Lucien Hardy. I worked with Prakash Panangaden at McGill during my MSc in Comp Sci. Please find my latest papers here:https://www.researchgate.net/profile/Ben_Sprott

view this post on Zulip Tobias Fritz (Jun 02 2020 at 15:23):

Welcome, Bradley and Ben! Ben, I've moved your message to the Introductions topic, I hope that's okay. Looking forward to the discussions!

view this post on Zulip Peter Arndt (Jun 02 2020 at 15:29):

Hi!
I am a pure mathematician by training (motivic homotopy theory, logic, number theory) and recently became a lecturer at a newly established master program on AI. Had to teach probability theory, statistics and information theory for this and discovered that there are category theoretical view points on this. That is great - I want more!

view this post on Zulip Arthur Parzygnat (Jun 03 2020 at 20:42):

Hello! I'm Arthur and I am a postdoc at IHES in France. These days, I've been thinking about categorical probability, Bayesian inference, Bayesian updating, and entropy in quantum mechanics. I have a website at https://arthurparzygnat.com/, where you can find papers, notes, videos, etc., but I am a bit behind on keeping it fully updated.
I'm hoping to learn more about the relationship between data, statistics, statistical models, and probability theory (in a language I can understand!).

view this post on Zulip Martin Plávala (Jun 04 2020 at 08:16):

Hi all. I am currently a postdoc in Siegen, Germany, working mainly on foundations of quantum theory, mainly GPTs and various related frameworks. I also have a background in applied mathematics and my first paper ever was on cosmology. I am mainly interested in the convex structures of physical theories, where category theory keeps appearing more and more often.

view this post on Zulip Bas Spitters (Jun 04 2020 at 12:12):

My name is Bas Spitters. I'll be speaking on Sunday about our work on the Giry monad in synthetic topology (http://arxiv.org/abs/1912.07339) and it's relation to homotopy type theory.
This is also connected the augur language as explained in our:
Daniel Huang, Greg Morrisett, Bas Spitters, An Application of Computable Distributions to the Semantics of Probabilistic Programs
https://arxiv.org/abs/1806.07966

view this post on Zulip Martti Karvonen (Jun 04 2020 at 16:35):

Hi! I'm Martti and I'm a postdoc at uOttawa in Canada. My main interests are in CT and its applications. In particular, I'm interested in questions of quantum contextuality, and there I'm seeing structures that seem to relate to categorical probability, which brings me here. Roughly speaking, in the setup I'm interested in classical probability amounts to probability over a point, but more general no-signalling correlations are about probability over arbitrary simplicial complexes.

view this post on Zulip Rory Lucyshyn-Wright (Jun 04 2020 at 22:54):

Hello! I am Rory Lucyshyn-Wright, one of the organizers of the workshop. I am a mathematician specializing in category theory, at Brandon University in Canada. My web page is at http://www.lucyshyn-wright.ca/ .

view this post on Zulip John Baez (Jun 04 2020 at 22:59):

Hi! I like your paper on enriched Lawvere theories.

view this post on Zulip Oliver Shetler (Jun 04 2020 at 23:09):

Hi! I'm Oliver Shetler. I am currently a Masters student at Hunter College, getting a degree in Statistics. I've been organizing Category Theory reading groups for about a year, and I will write my dissertation on describing rhetorical figures as linguistic variates using categorical grammars. I plan to pursue a Ph.D. in applied mathematics after completing my Masters degree. I'm just getting started with both Category Theory and Probability / Statistics, but I'm excited to be here as an observer.

view this post on Zulip Rory Lucyshyn-Wright (Jun 05 2020 at 00:01):

John Baez said:

Hi! I like your paper on enriched Lawvere theories.

Thanks John.

For everyone interested in enriched algebraic theories and monads, here are some papers of mine on that subject:

Enriched algebraic theories and monads for a system of arities. Theory and Applications of Categories 31 (2016), 101-137. arXiv:1511.02920

Commutants for enriched algebraic theories and monads. Applied Categorical Structures 26 (2018), 559-596. arXiv:1604.08569

Functional distribution monads in functional-analytic contexts. Advances in Mathematics 322 (2017), 806-860. arXiv:1701.08152

The latter paper gives a general categorical construction that yields several monads of measures and distributions as special cases, alongside several monads of filters.

view this post on Zulip Sam Tenka (Jun 05 2020 at 00:02):

Hi! I'm Sam Tenka. I don't know much about probability or category theory, but I am eager to learn. Like Batman, I have two identities: by day, I think about how to get computers to program themselves. By night, I try to sleep.

view this post on Zulip Tobias Fritz (Jun 05 2020 at 00:33):

Hello all! As will be apparent from these introductions, we have people with a broad range of areas of expertise and degrees of seniority. So please feel free to discuss categorical probability and statistics and start new topics at any level. Everything is welcome, from (seeminly) basic to cutting-edge research, but especially the basic stuff.

view this post on Zulip Evan Patterson (Jun 05 2020 at 01:32):

Hi everyone, I'm Evan. I'm just finishing my PhD in statistics. I've also been interested in ACT for several years now. On Saturday, I'll give a talk about how to understand statistical models from the viewpoint of categorical logic. During the workshop, I'm hoping to learn more about how category theory can interact with probabilistic programming languages.

view this post on Zulip Alex Simpson (Jun 05 2020 at 07:40):

Hi! I'm a theoretical computer scientist working in the mathematics department at the University of Ljubljana in Slovenia, where I have been since 2015. Before that I was at the School of Informatics at the University of Edinburgh for 25 years.

I'm interested in the foundations of mathematics and computer science in general, and especially in applications of category theory and logic in the two areas. I am particularly intrigued by topics in which taking a computational viewpoint can influence the mathematical development. Probability theory is very much such a subject.

I am looking forward to the programme, and to meeting others with similar interests. It's also nice to see several old friends here!

view this post on Zulip Tobias Fritz (Jun 07 2020 at 14:47):

Just bumping this in case that others still want to add introductions :) It would be great to read them!

view this post on Zulip Dario Stein (Jun 07 2020 at 17:32):

Hello all, I'm a PhD student at Oxford working with Sam Staton. I work on probabilistic programming languages, which I like to see as the internal language of categorical probability theory. Most of my current work goes into understanding quasi-Borel function spaces, which have fascinating connections to fresh name-generation and are non-positive in Tobias' terminology. I'm also interested in conditioning.