Sivaramakrishnan
Swaminathan

    sivaramakrishnan (at) utexas (dot) edu
      RLM 9.312, UT Austin
     sivark
  publications on arXiv

More about me...

I am a Ph.D. candidate in the Theory Group at The University of Texas at Austin. My PhD advisor at UT Austin is Prof. Can Kilic.

Before graduate school, I spent four exciting years (2007-2011) at the Indian Institute of Technology Madras, getting an undergraduate degree in electrical engineering and making wonderful friends along the way.

I am currently looking for research-oriented opportunities broadly related to machine learning. Among other things, I am greatly interested in bringing together ideas from probabilistic inference and theoretical physics.

Research

I started off my PhD working in particle physics and cosmology. Along the way, I got really interested in the notion of renormalization group flow in large and complex systems, and how this seemingly leads to the dynamical emergence of an extra dimension corresponding to scale. I find it fascinating how ideas at the heart of renormalization group flow, mixed with inputs from information theory and computational complexity, might have deep and diverse applications such as statistical inference, and the holographic emergence of gravity from quantum mechanics!

Currently, my intellectual interest is to bring together ideas from quantum/statistical physics, information theory and statistical inference. I would love chat about my research or related topics; feel free to get in touch, if you're interested and have thoughts to share. Thus far, my work has touched on the following topics:

Beyond the Standard Model phenomenology

Finite temperature field theory, Electroweak phase transition, Naturalness mechanisms, Colourless top partners (Orbifold Higgs models), Asymmetric and Flavored dark matter, Leptogenesis

Spacetime from entanglement (bottom-up holography)

RG flow on many-body quantum states and emergence of space and gravity (Holography/MERA)

Tensor Networks

Computational and theoretical aspects of the Multi-scale Entanglement Renormalization Ansatz (MERA)

  • Numerically simulate quantum systems at criticality by "training" a MERA
  • Understand the continuum limit of MERA and applications to QFTs

Teaching

I have been teaching a unique course designed at giving students with a non-technical background an exposure to science and scientific thinking. The first segment of the course (PS303, which I teach) has a nominal focus on mechanics, but draws on examples from daily life, and emphasizes inquiry, to help students see how critical analysis and quantitative thinking can help in understanding happenings and making judicious decisions.

One of my favourite class exercises focuses on an understanding of exponentials: On Github

Sport

I enjoy playing squash these days.

Writing

I write a lot (mostly for myself), and tried to blog some of that. (I haven't gotten around to publishing my recent writing, so the content there is somewhat sparse and dated)

Reading

I like to read a variety of stuff; mostly non-fiction.
Goodreads profile

Physics StackExchange

I spend some time participating on the Physics StackExchange website, writing expository answers, sharing and growing my knowledge.
phy.SE