I am interested in developing advanced sampling algorithms and applying machine learning to molecular simulation as a means of material property prediction and molecular pathway discovery.

Education

Aug 2007 - May 2011
BS, Chemical and Biomolecular Engineering

Advised by Dr. Taryn Bayles
University of Maryland Baltimore County

Aug 2014 - Dec 2016
MS, Applied & Computational Mathematics & Statistics

The application of numerical algebraic geometry to thermodynamic modeling

Advised by Dr. Jonathan Hauenstein
University of Notre Dame

Aug 2014 - Jan 2017
MS, Chemical & Biomolecular Engineering

Towards the prediction of material properties from molecular simulation

Advised by Dr. Jonathan Whitmer
University of Notre Dame

Aug 2014 - Dec 2017 (Expected)
PhD, Chemical & Biomolecular Engineering

Predicting elastic properties from molecular simulation

Advised by Dr. Jonathan Whitmer
University of Notre Dame

Research Experience

Download my CV

Publications

Weak polyelectrolyte complexation driven by associative charging

Vikramjit S. Rathee, Aristotle J. Zervoudakis, Hythem Sidky, Benjamin J. Sikora and Jonathan K. Whitmer

Submitted. 2017.

Simulating the thermodynamics of charging in weak polyelectrolytes: The Debye-Hückel limit

Vikramjit S. Rathee, Benjamin J. Sikora, Hythem Sidky, and Jonathan K. Whitmer

Materials Research Express. 2017.

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The emergent nematic phase in ionic chromonic liquid crystals

Hythem Sidky and Jonathan K. Whitmer

The Journal of Physical Chemistry B. 2017.

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Algebraic geometric method for calculating phase equilibria from fundamental equations of state

Hythem Sidky, Alan C. Liddell, Jr., Dhagash Mehta, Jonathan D. Hauenstein, and Jonathan K. Whitmer

Industrial & Enginering Chemistry Research. 2016.

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Elastic properties of common Gay-Berne nematogens from density of states (DOS) simulations

Hythem Sidky and Jonathan K. Whitmer

Liquid Crystals, 2016.

read articleInvited

Elastic response and phase behavior in binary liquid crystal mixtures

Hythem Sidky and Jonathan K. Whitmer

Soft Matter, 2016.

read article

Technical Skills

Molecular Simulation

Molecular dynamics, Monte Carlo, and advanced sampling methods.

Machine Learning

Nonlinear manifold learning and probabilistic deep learning.

Software Development

Extensive (15 years) experience programming in various languages. Proficient in C++, MATLAB, Python, PHP, and C#/.NET.

Awards & Certifications

Best PhD Candidacy

University of Notre Dame CBE Department (2017)


Award recognizing excellence in all aspects of written and oral candidacy.

Faculty Fellowship Award

University of Notre Dame CBE Department (2014)


Offered to the most promising students admitted into PhD program.

Green Belt Certification

Six Sigma (2014)


Certifies the ability to analyze and solve problems using Six Sigma methodology.

Linux+ Certified Professional

CompTIA (2004)


Certifies foundational skills and knowledge of Linux system administration.

Contributed Talks

Toward molecular engineering of liquid crystal elasticity: predicting 5CB elastic constants

Hythem Sidky & Jonathan K. Whitmer

AIChE Annual Meeting, 2017.

Learning free energy landscapes using artificial neural networks

Hythem Sidky & Jonathan K. Whitmer

Midwest Thermodynamics and Statistical Mechanics Conference, 2017.

Elastic properties of common Gay-Berne nematogens

Hythem Sidky & Jonathan K. Whitmer

Midwest Thermodynamics and Statistical Mechanics Conference, 2016.

Revisiting nonlinear equations in thermodynamic modeling: a numerical algebraic geometry perspective

Hythem Sidky

Workshop on Software and Applications of Numerical Algebraic Geometry, 2016.

Invited

Self-assembly of ionic chromonic liquid crystals

Hythem Sidky& Jonathan K. Whitmer

American Physical Society March Meeting, 2016.

Phase behavior of binary liquid crystal mixtures: a density of states based approach

Hythem Sidky& Jonathan K. Whitmer

Midwest Thermodynamics and Statistical Mechanics Conference, 2015.