About Me
Welcome to my site! I’m a quantitative researcher with a PhD in Astrophysics at AIR Trading. I focus on implementing signal processing & machine learning methods in financial markets. My main interests are computational modelling, data science and machine learning.
I have a few artistic hobbies, such as music (I sing and play a few instruments), and 3D art (mainly with Blender). Programming is one of my primary hobbies as well as being a cornerstone in my work. Currently I use Python and a bit of Rust, but I have previously used JavaScript, C, Julia and IDL as well.
If you’re interested in getting in touch, you can send me an email or find me on GitHub, Instagram and LinkedIn.
Feel free to take a look at my CV as well.
Research
I did my PhD in the Galactic Archaeology group at Heidelberg University as a part of the International Max Planck Research School programme (IMPRS-HD) investigating non-equilibrium chemical processes in cool stellar atmospheres. My PhD thesis, entitled “Modelling Non-Equilibrium Molecular Formation and Dissociation for the Spectroscopic Analysis of Cool Stellar Atmospheres”, combines conventional computational modelling techniques in astronomy with machine-learning ones. During my PhD, I published 2 first-author papers, detailed in the research section below.
I did an integrated Master’s degree at the University of Exeter in Exeter, UK. For my research, I worked in the AWESoMeStars group headed by Prof. Sean Matt. My master’s dissertation was on “Using Open Magnetic Flux to Refine Stellar Rotational Evolutional Tracks”. I also did a summer project in the same group, investigating the loss of angular momentum from the Sun by studying the solar wind.
Notable Publications
An exhaustive list of my research and employment can be found through my ORCID
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Siddhant A. Deshmukh and Hans-Guenter Ludwig (July 2023). Implications of Time-Dependent Chemistry in Metal-Poor Dwarf Stars Astronomy & Astrophysics Volume 675, A146.
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Siddhant A. Deshmukh, Hans-Guenter Ludwig, Arunas Kučinskas, Matthias Steffen, Paul S. Barklem, Elisabetta Caffau, Vidas Dobrovolskas, and Piercarlo Bonifacio (Dec. 2022). The Solar Photospheric Silicon Abundance According to CO5BOLD - Investigating Line Broadening, Magnetic Fields, and Model Effects Astronomy & Astrophysics Volume 668, A48.
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Adam J. Finley, Siddhant A. Deshmukh, Sean P. Matt, Mathew Owens, and Chi-Ju Wu. (2019) Solar Angular Momentum Loss over the Past Several Millennia The Astrophysical Journal, Volume 883, Number 1.
Coding Projects
I enjoy writing different kinds of computational simulations for fun & understanding. Here’s a list of the ones I’ve got so far: