- 🔭 I’m currently working on several Computational Biology projects
- 🌱 I’m currently learning how to model a living system with PDEs
- 💬 Ask me about how to build a Machine Learning-powered MVP for your startup
- ⚡ Fun fact: cat gifs are the ultimate drug
Uncertainty quantification and neural network interpretation for studying CRISPR mechanics: 10.13140/RG.2.2.15498.85448
A vector database solution for rational design of CRISPR defense-avoidant phage therapy: https://peerj.com/articles/cs-3427/
Numerical modeling of oxygen diffusion in tissue spheroids undergoing fusion using function representation and finite volumes: https://www.nature.com/articles/s41598-025-86805-2
Measuring internal inequality in capsule networks for supervised anomaly detection: https://doi.org/10.1038/s41598-022-17734-7
Uncertainty-aware and interpretable evaluation of Cas9–gRNA and Cas12a–gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning: https://academic.oup.com/nar/article/50/2/e11/6430490
Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235179 (preprint: https://www.biorxiv.org/content/10.1101/2020.06.11.145805v1)

