Papers & Write-ups

Published work, preprints, and polished research notes. Also on Google Scholar.

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.

Investigating LLMs’ Understanding of Causality in Measurements Using OpenADMET Experiments

PRISM 2026 · Surrogate Science · Mid-August 2026

Uses paired PXR primary and counter-screen assays as a causal identification testbed to ask whether LLMs distinguish assay activity from evidence of target engagement — probing selectivity representations, counter-screen fragility, activation patching across equivalent notations, and whether models request the missing scientific control.

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.

pflotran-py: A Python Wrapper for Generating PFLOTRAN Input Files and Processing Simulation Results

Sanskriti Shindadkar & Madison Dunitz · SURF @ Caltech · JOSS manuscript

A Python package that generates experiment-specific PFLOTRAN input files, supports custom sandbox reactions (including water-activity inhibition of methanogenesis), and post-processes simulation outputs for bio-based carbon sequestration modeling.