Han Lin

Data Scientist

https://talent.gravityer.com/han-lin

CS PhD Student at UNC-NLP Group

UNC Chapel Hill

Key Strengths

Extensive experience in Python for machine learning and deep learning projects.
Strong background in research-oriented projects, evidenced by multiple publications (ICLR, COLM, NeurIPS, ECCV, RA-L/IROS).
Proficiency in various AI/ML sub-domains including diffusion models, LLMs, video generation, diagram generation, knowledge distillation, and embodied agents.
Demonstrated ability to implement complex algorithms and models from research papers.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on academic research and cutting-edge AI/ML development, which aligns well with an innovative and research-driven culture. The diversity of projects indicates adaptability and a broad interest in different AI applications. However, the lack of team-based or industry-specific projects makes it difficult to fully assess collaboration and practical application in a corporate setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no assessment was completed.

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Assessing your cultural and operational fit

Projects

V-Co

March 17, 2026 – Present

Official implementation of V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising (ECCV 2026)

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SpatialUncertain_code

March 9, 2026 – Present

SpatialUncertain_code — GitHub repository

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Bifrost-1

August 4, 2025 – November 24, 2025

Official implementation of Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents (NeurIPS 2025)

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Ctrl-Adapter

April 15, 2024 – February 11, 2025

Official implementation of Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model (ICLR 2025 Oral)

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EnvGen

March 15, 2024 – July 13, 2024

Official Code Repository for EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents (COLM 2024)

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DiagrammerGPT

October 18, 2023 – September 12, 2024

Official code repository for: DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning (COLM 2024)

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VideoDirectorGPT

September 26, 2023 – August 7, 2024

official implementation of VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning (COLM 2024)

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SMKD

November 16, 2022 – March 29, 2023

Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers

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tandem-public

March 26, 2022 – July 30, 2022

[RA-L / IROS 2022] TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors

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GKAT

May 18, 2021 – April 16, 2023

GKAT — GitHub repository

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Key Strengths

Extensive experience in Python for machine learning and deep learning projects.
Strong background in research-oriented projects, evidenced by multiple publications (ICLR, COLM, NeurIPS, ECCV, RA-L/IROS).
Proficiency in various AI/ML sub-domains including diffusion models, LLMs, video generation, diagram generation, knowledge distillation, and embodied agents.
Demonstrated ability to implement complex algorithms and models from research papers.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no assessment was completed.

Han Lin

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit