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Researcher in computational imaging, computer vision, optics, and applied machine learning. Read about my work at https://deanhazineh.github.io/
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Harvard University
Data Scientist
June 29, 2026 – Present
DiffVis
August 1, 2025 – August 1, 2025
Extracting Hyperspectral Information from Optical Blurr Using Patch Diffusion
View Projectcobl
July 10, 2025 – August 26, 2025
Implementation of the ICCV 2025 Paper: CObL: Toward Zero-Shot Ordinal Layering without User Prompting
View ProjectHarvard-CS283.github.io
September 25, 2024 – October 7, 2024
Harvard-CS283.github.io — GitHub repository
View ProjectPix2Pix_Modern
June 28, 2024 – June 28, 2024
A modern rewrite of the Pix2Pix architecture in pytorch. Basic backbones updated for attention and the usual new practices.
View ProjectDFlat
July 14, 2023 – July 3, 2025
DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
View ProjectMulti-Image-Synthesis
July 14, 2023 – February 2, 2024
The code repository for the 2023 ICCP Paper: Polarization Multi-Image Synthesis with Birefringent Metasurfaces
View ProjectEmergent-World-Representations-Othello
March 16, 2023 – July 31, 2024
A mechanistic interpretability study invvestigating a sequential model trained to play the board game Othello
View ProjectPytorch-Deep-Learning-Examples
February 13, 2023 – July 11, 2023
A small collection of .ipynb notebooks that implements basic tests and demos of some repositories published in computer vision journals
View ProjectDFlat-tensorflow
July 13, 2022 – February 7, 2024
(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
View ProjectDeep-Learning-Color-for-Manga
April 23, 2020 – June 8, 2023
Implements the Pix2Pix TF architecture (cGAN for image translation) in Python 3.5, TF 1.12 to deeplearn colorization for black and white sketches, manga, and anime
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic research and personal exploration in computer vision and deep learning. While this demonstrates strong technical curiosity and initiative, the breadth of technologies and project types outside of this specific domain is limited. The single listed professional experience as a 'Data Scientist' at Harvard University, starting in the future (2026), suggests a strong academic background but lacks real-world industry experience. This might indicate a fit for research-heavy roles but less so for diverse industry applications without further evidence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.