Publications
Showing 79 results for Author: Christopher B. Stanley
Mar, 2026
Conference Paper
Position-Enhanced Gradient Attack (PEGA) on Medical Language Models
Federated Learning (FL) enables collaborative training of language models on sensitive clinical notes without sharing the data. However, this paradigm is vulnerable to gradient inversion attacks that can reconstruct private data from shared gradients. We find that state-of-the-art attacks are less effective in the medical domain, failing to overcome the unique challenges p…
Mar, 2026
Journal
KRAS4a and KRAS4b show distinct lipid-dependent regulation of RAS-RAF membrane dynamics
KRAS4a and KRAS4b are important regulators of signaling, and their interactions with the plasma membrane are dynamic and influenced by lipid composition. KRAS 4a and 4b have nearly identical globular domains but differ in their membrane-associated hyper variable region (HVR). The functional distinctions between these isoforms remain unclear, particularly with regards to th…
Feb, 2026
Journal
Denoising Seismograms in the Time Domain Using a Deep Learning Model
Deep learning has emerged as a transformative tool for enhancing the extraction of reliable information from seismograms, addressing the increasing demand for precise and efficient seismic data analysis. We introduce an innovative encoder–decoder deep learning model, named WaveDenoiser, designed for noise reduction in the time domain, thereby eliminating the need for spect…
Oct, 2025
Journal
Dynamics and lipid membrane coupling of the RAS-RAF complex revealed via multiscale simulations
To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to…
Sep, 2025
Journal
Dynamical signatures of Thermotoga maritima maltose-binding proteins affected by ligand binding
Functional segregation among protein isoforms depends on the interplay of their overall structures and the molecular dynamics of these structures. Thermotoga maritima maltose-binding protein (tmMBP) isoforms show size-dependent differential binding of maltose and malto-oligomers while maintaining remarkable fold conservation. This differential behavior needs detailed chara…
Jun, 2025
Journal
PickerXL, a Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
Precisely measuring seismic arrival times is a labor‐intensive task but is critical for both earthquake monitoring and subsurface imaging. Recently published deep learning models have demonstrated superior performance compared to traditional automatic approaches for picking arrival times. Although existing deep learning models have shown promising results, further advancem…
Nov, 2024
Journal
p14ARF forms meso-scale assemblies upon phase separation with NPM1
NPM1 is an abundant nucleolar chaperone that, in addition to facilitating ribosome biogenesis, contributes to nucleolar stress responses and tumor suppression through its regulation of the p14 Alternative Reading Frame tumor suppressor protein (p14ARF). Oncogenic stress induces p14ARF to inhibit MDM2, stabilize p53 and arrest the cell cycle. Under non-stress conditions, NP…