Invited Talks and Presentations, Oral Exams, and Defenses
High-Assurance Machine Learning for Cybersecurity
Guest Lecture for CS410: Introduction to Software Engineering at University of Massachusetts Boston, April, 2023
Biologically-Aware Algorithms for Connectomics
Thesis Defense at Harvard University, April, 2021
Synapse-Aware Skeleton Generation for Neural Circuits
Invited Poster at Max Planck Institute--Howard Hughes Medical Institute Connectomics Conference, April, 2019
Segmentation of Electron Micrscopy Images in Connectomics
Qualifying Exam at Harvard University, May, 2018
Learning Global Features for Neuron Reconstruction in EM Images
Master's Defense at Princeton University, May, 2016
Journal and Conference Publications
Relevance Structures are a Necessary Prerequisite for Artificial Metacognition
IEEE Intelligent Systems, 2026.
Spatio‑Temporal Pruning for Compressed Spiking Large Language Models
arXiv preprint arXiv:2508.20122, 2025.
Direct Amortized Likelihood Ratio Estimation
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.
Two Stream Active Query Suggestion for Active Learning in Connectomics
Proceedings of European Conference on Computer Vision (ECCV), 2020.
Synapse-Aware Skeleton Generation For Neural Circuits
Springer: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.
Biologically-Constrained Graphs for Global Connectomics Reconstruction
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
arXiv preprint arXiv:1707.08935, 2017.
Learning Hierarchical Semantic Segmentations of LIDAR Data
IEEE International Conference of 3D Vision, 2015.
Workshop Papers
A Preliminary Study into the Conceptual Design of Aircraft using Simulation‑Based Inference
Machine Learning and the Physical Sciences Workshop at Neural Information Processing Systems (NeurIPS), 2025.
Breaking Bad: Interpretability‑Based Safety Audits of State‑of‑the‑Art LLMs
Lock‑LLM Workshop: Prevent Unauthorized Knowledge Use from Large Language Models at Neural Information Processing Systems (NeurIPS), 2025.
Enhancing Semantic Clustering for Uncertainty Quantification & Conformal Prediction by LLMs
Statistical Foundations of LLMs and Foundation Models at Neural Information Processing Systems (NeurIPS), 2024.
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Safe Generative AI at Neural Information Processing Systems (NeurIPS), 2024.
SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding
Adaptive Foundation Models Workshop at Neural Information Processing Systems (NeurIPS), 2024.
SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding
Machine Learning and Compression Workshop at Neural Information Processing Systems (NeurIPS), 2024.
Non‑Invasive Stress Monitoring from Video
Women in Machine Learning Workshop at Neural Information Processing Systems (NeurIPS), 2024.
Safeguarding Network Intrusion Detection Models from Zero‑day Attacks and Concept Drift
Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI Conference on Artificial Intelligence (AAAI), 2024.
Direct Amortized Likelihood Ratio Estimation
Machine Learning and the Physical Sciences Workshop at Neural Information Processing Systems (NeurIPS), 2023.
Independent Research, Written Exams, and Theses
Biologically-Aware Algorithms for Connectomics
Ph.D. Dissertation at Harvard University, April, 2021
Segmentation of Electron Microscopy Images for Connectomics
Qualifying Exam at Harvard University, May, 2018
Learning Global Features for Neuron Reconstruction in EM Images
Master's Thesis at Princeton University, May, 2016
