cv

Please download my CV in PDF form for further in-line links 👉

Executive Summary

Award-winning AI researcher and technical leader with 10+ years bridging Computer Vision (Neuromorphic / Generative AI) and Clinical Pathology. Proven record guiding R&D from theory to deployment (Lunit SCOPE). Skilled in building cross-functional teams, managing IP portfolios (3 patents), and publishing in top-tier venues (CVPR, TPAMI, Nature npj). Seeking to leverage deep expertise and strategic vision as CTO, VP of AI Research, or Principal Investigator.

Interests

  • Computational Pathology (Cell Detection, Tissue Segmentation, Sub-cell Models).
  • Event-based (Neuromorphic) Cameras/Vision (Reconstruction, Super-resolution, Depth/Flow estimation).
  • Super-resolution (RNNs for Event-cameras, weighted patches for Facial images).
  • Generative Models (Diffusion-based, Bridging, CTMs, Flow matching, and GANs).

Core Competencies

  • Technical Leadership
    • R&D Strategy
    • Product Roadmap Execution
    • Cross-functional Team Management
    • Tech Transfer & Commercialization
  • AI Specializations
    • Generative Models (Diffusion / GANs / Flow Matching)
    • Event-based Vision
    • Computational Pathology
    • Medical Image Analysis
    • 3D Depth Estimation
    • Super-resolution
  • Business & Ops
    • Startup Incubation (OASIS Program)
    • IP Strategy
    • Stakeholder Engagement
    • Venture Fundraising Support

Experience

  • Mar 2024 — Present

    Seoul, South Korea

    Postdoctoral Research Fellow
    Seoul National University (SNU)
    • Lead researcher for advanced AI projects, including the prestigious government-funded InnoCORE Program (commencing Sep 2025) bridging SNU, KAIST, and DGIST; spearheading R&D in Generative AI and Neuromorphic Vision.
    • Research focus: next-generation generative models for image-to-image translation and spiking neural networks for depth estimation from event cameras.
    • Leadership: mentoring graduate students and collaborating across SNU-MPR, KAIST-VI, and DGIST-CVL — 2 CVPR + 1 under review in the first year.
    • Technical impact: advanced methods for efficient image-to-image translation requiring minimal compute resources and fewer evaluations.
    • Global AI strategy: directed a 9-month high-impact AI residency at MUI-MISP (see below).
  • Jun 2024 — Feb 2025

    Isfahan, Iran

    Visiting Researcher (Strategic AI Residency)
    Medical University of Isfahan (MUI-MISP)
    • Medical AI alignment while maintaining concurrent remote research with SNU.
    • Curriculum: designed and delivered the university's first 'AI in Ophthalmology' and related AI curricula for medical practitioners and faculty.
    • Advisory: primary technical advisor to faculty and medical students on AI integration in clinical workflows (ophthalmology, pathology, cardiology).
  • Jun 2021 — Mar 2024

    Seoul, South Korea

    Team Leader & Senior Research Scientist (Oncology AI)
    Lunit Inc.
    • Product leadership: directed the specialized R&D unit contributing to the Lunit SCOPE suite; influenced 4 of 8 product development cycles, translating research models into CE-marked clinical tools and pharma-ready workflows.
    • Strategic innovation: conceptualized and co-developed 'Universal IHC' models (Nature npj Precision Oncology 2024), generalizing cancer cell classification across cancer types and immunostains; later extended with sub-cellular segmentation (patent).
    • Performance engineering: core algorithms for cell detection, tissue segmentation, IO and PD-L1, achieving state-of-the-art performance in internal evaluations and external pharma pilots.
    • Cross-functional management: aligned technical roadmaps with business goals across Pathology, Biomedical Engineering, Product, and Business Development.
    • IP & eminence: 2 patents (KR/US) and active academic presence via publications, abstracts, and seminars.
  • Sep 2015 — Jun 2021

    Gwangju, South Korea

    Research Assistant (Ph.D. Candidate)
    Gwangju Institute of Science and Technology (GIST)
    • Pioneered novel event-based vision architectures for image reconstruction, super-resolution, and depth estimation.
    • Achievement: Ranked #1 globally in the CVPR Workshop Event-based Vision Competition (2021).
    • Collaboration: led cross-lab and international collaborations resulting in high-impact publications in TPAMI, IJCV, and CVPR (including an oral presentation).

Honors & Awards

  • Presidential Excellence Award — Best Ph.D. Dissertation, GIST (2021)
  • 1st Place, CVPR Workshop Event-based Vision Competition (2021)
  • Outstanding Research Assistant Award, GIST (2020)

Professional Service & Leadership

  • Reviewer
    • CVPR, ECCV, ICCV, ICML, MICCAI, IJCV, and IEEE Transactions
    • Technical Reviewer: Gold — ICML 2026
  • Challenge Organizer
    • OCELOT — Cell Detection from Cell-Tissue Interaction (MICCAI 2023)
    • Advances in Neuromorphic Vision (ICME 2024)
  • Entrepreneurship
    • Pitched at COMEUP 2025 (Korea's flagship startup conference, Seoul, Dec 2025) with Seoul Startup Society
    • OASIS Program (Korea) — startup creation, commercialization, entrepreneurship (Modules 1, 2, 4, 5)
    • Architecting early-stage ventures — Jichim AI (career navigation & potential mapping) and Seoul Loop (hyper-local fashion micro-rental)
  • Open Source
    • Maintained widely referenced GitHub repositories from CVPR/TPAMI papers (e.g., E2SRI and event-based stereo depth codebases — 50+ stars combined)

Education

  • 2021

    South Korea

    Ph.D. in Electrical Engineering & Computer Science (AI Track)
    Gwangju Institute of Science and Technology (GIST)
    • Distinction — Presidential Excellence Award (Best Dissertation)
    • Advisors — Prof. Jonghyun Choi (GIST, now at SNU) & Prof. Kuk-Jin Yoon (KAIST)
  • 2014

    Iran

    M.Sc. in Electrical Engineering
    Hakim Sabzevari University
    • Thesis: Facial Image Super-Resolution Using Weighted Patch Pairs
    • Advisors — Prof. Javad Haddadnia & Prof. Payman Moallem

Selected Publications & Patents

  • Total citations: 750+  ·  h-index: 10
  • CVPR 2026 (×2) — Diffusion models for image translation (Main) and Event Cameras with SNN for depth (Findings).
  • US Patent 2025 — Method and Apparatus for Analyzing Pathological Slide Images (Lunit).
  • Korea Patent 2024 — AI Model for IHC Stained Image Analysis (Lunit).
  • Nature npj Precision Oncology 2024 (IF 8.0) — AI-driven Universal Immunohistochemistry analyzer.
  • CVPR 2022, ICCV 2021 — Event Cameras for depth estimation and sensor fusion.
  • Korea Patent 2020 — Method and Apparatus for Generating Super-Resolved Intensity Images (GIST).
  • CVPR 2020 (Oral, top 5%), TPAMI 2021 (IF 24.31) — Event Cameras for image generation and super-resolution.
  • CVPR 2019, IJCV 2021 (IF 13.37) — Event Cameras for high dynamic range and high frame rate video generation.

Technical & Managerial Skills

  • Core AI Stack
    • PyTorch, TensorFlow, OpenCV
    • Generative Models (Diffusion, GANs, Flow Matching)
    • Spiking Neural Networks
    • Copilot / Claude
  • Development
    • Python, C++, MATLAB
    • Docker, Linux, CUDA, Git
    • GCP, VastAI
  • Management
    • Agile / Jira, Confluence, Notion
    • Strategic Roadmap Planning
  • Languages
    • English (Bilingual / Fluent)
    • Farsi (Native)
    • Korean (Intermediate — KIIP Level 3 completed)