Experience
Five summers of AFRL-sponsored research, five years in the Computer Vision Lab.
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Technical Analyst II — DCS Corp
- Built the paired-outcome evaluation behind a 25,870-question study of retrieval-augmented QA across NQ-Open, TriviaQA and PopQA, measuring when evidence-based refinement repairs a draft answer and when it destroys a correct one.
- Trained LoRA answer/refine/abstain controllers on 8× NVIDIA H200 GPUs (~400 GPU-hours for a clean reproduction), beating the strongest confidence baseline and closing two thirds of the gap to an oracle policy.
- Maintain the evaluation harness comparing LLM policy variants across coverage, utility, and out-of-distribution behavior, plus a 480-row blind human audit validating the automatic labels at 90.8% agreement.
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Graduate Research Associate — Computer Vision Lab
- Build selective-prediction systems for vision, multimodal, and language tasks, advised by Prof. Jim Davis.
- Developed per-class reject-option classification that lifts CIFAR-100 selective accuracy from 88.3% to 97.8% at 77.3% coverage, validated on 4 vision, 3 text and 8 synthetic datasets (Springer Best Paper Award at ISVC 2022; MVA 2025 journal extension).
- Designed the ImageCoMMuTE contrastive metrics for multimodal machine translation (WMT 2024), which separated genuine image use (81%) from final translation preference (63%) and built a 1,540-image extended evaluation set.
- Publish and maintain the public research code for reject-option classification and calibration.
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Graduate Research Intern — AFRL
- Summer 2024: Adapted and trained JEPA and MAE transformers in a distributed Slurm/Singularity setup for multimodal EO/SAR representation learning in low-data regimes.
- Summer 2023: Developed Reject Option Beam Search for machine translation at large beam widths.
- Summer 2022: Built the end-to-end training procedure for Naturally Constrained Reject Option Classification.
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Graduate Teaching Associate — Machine Learning & NLP
- Taught and supported machine learning and NLP courses through grading, office hours, and lab materials.
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Undergraduate Research Intern — AFRL
- Summer 2021: Studied ensemble distillation for ambiguous instances.
- Summer 2020: Built a semi-automated system for temporal satellite imagery collection (ICCV 2021 workshop), released as the Construction-Site-Satellite-Imagery dataset.
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Undergraduate Research Associate — Computer Vision Lab
- Built semi-automatic labeling workflows for remote-sensing change detection, including Python tooling for collecting and preparing temporal satellite datasets.
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Summer Research Intern — Sii Canada / Concordia University
- Built anomaly-detection dashboards on behavioral telemetry to prioritize follow-up experiments.
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Undergraduate Teaching Associate — Discrete Structures & Algorithms
- Led recitations and office hours for discrete structures and algorithms.
Education The Ohio State University, start to finish.
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Ph.D. Computer Science and Engineering
The Ohio State University
- Degree conferred August 2026. Dissertation: Answering Under Uncertainty: Abstention, Ambiguity, and Recoverability, defended July 8, 2026.
- Advised by Prof. Jim Davis. Minors in Mathematics and High-Performance Computing.
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M.S. Computer Science and Engineering
The Ohio State University
- GPA 3.70. Advised by Prof. Jim Davis.
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B.S. with Honors Computer Science and Engineering
The Ohio State University
- GPA 3.86. Minor in Mathematics.
- Maximus, Ten-Hai Lai, Ansel, and Name and Seal scholarships.
Service Peer review and community.
- Reviewer
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- ICCV 2023
- CVPR 2023
- ECCV 2022
- CVPR 2022
- Volunteer
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- HackOHI/O 2023