Papers & Write-ups

Published work, preprints, and polished research notes.

Virus-Like Particles as a CRISPR-Cas9 Delivery Tool

Sanskriti Shindadkar, Kari M. Severson · Journal of Undergraduate Life Sciences (JULS), 2024

A review of virus-like particles as delivery vehicles for CRISPR-Cas9 genome editing components, covering clinical context, advantages and limitations of VLPs, and key studies that couple the two technologies.

Comparing the Performance of Leading VQE Algorithms for Computing Ground-State Energies of Amino Acids

Sanskriti Shindadkar, Clyde Villacrusis, Jasper Andrews, Brandon Yan · arXiv, 2026

An integrated benchmarking repository for variational quantum eigensolver ansatzes and truncation methods, applied to amino-acid Hamiltonians from the QMProt dataset across noise resilience, trainability, adaptive growth, and accuracy–expressivity tradeoffs.

Varying Random Unitary Circuits in a Classically-Modelled Quantum Neural Network

Based on work by Sanskriti Shindadkar, Clyde Villacrusis, Manvi Agrawal, Hayk, and Karen · 2026

Explores how circuit choice affects predictive accuracy when a classical layer in a 3D/SGCNN fusion model for protein–ligand binding affinity is replaced with parameterized random G3 unitary circuits.

Modelling Antibody Therapy Dynamics with Applications to Glofitamab

Collaboration with Joseph Fisher, Mia A. Calvillo, Rhea Jain, Brianna Ozomaro, Kody Seow, Mehreen Suzaan, David Wang, Dylan Warner, Nini Yang, and others · 2025

A summary of modelling experiments on antibody therapy dynamics, with applications to Glofitamab.

Modeling Methane Flux for Long-Term Organic Carbon Sequestration

SURF @ Caltech · Mentored by Madison Dunitz

Technical write-up on building and constraining a PFLOTRAN reaction-transport model for long-term methane and CO2 flux from salted algal biomass sequestration.