Cihan Ruan

Ai Researcher @Broad Institute of MIT and Harvard

Santa Clara, CA, US
EMAILS
c••••@stanford.edu
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2026 — Present

Ai Researcher @Broad Institute of MIT and Harvard

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Cambridge, MA, US

I work in the Imaging Platform (Carpenter-Singh Lab) under dual leadership from Anne E. Carpenter and Shantanu Singh, developing AI methods that scale cell-imaging analysis and improve disease pattern identification. I focused on developing innovative AI solutions to automate biological discovery and improve disease pattern identification. • Led the design of custom Transformer architectures for processing over 1.4 million single-cell images. • Applied Generative AI to simulate healthy cell states, enhancing detection capabilities beyond traditional models. • Integrated genomic metadata with computer vision to accelerate drug repurposing for rare genetic disorders.

EDUCATION

N/A

Santa Clara University

Doctor of Philosophy (Ph.D.), Computer Science and Engineering

N/A

Nankai University

Bachelor's degree, Software Engineering

N/A

University of California, Berkeley

Summer Session

N/A

Santa Clara University

Master's degree, Computer Science Engineering

ABOUT CIHAN RUAN

I build cross-disciplinary GenAI systems that bridge token-based representation learning with real-world constraints.My work lives on the boundary between generative video modeling and reliable data systems: learning strong embedding/token layers, then using predictive (generative) decoding to reconstruct and recover information under bandwidth and noise.Recent projects include:· Token-space generative video modeling (prediction-based reconstruction in discrete latent space)· Robust neural decoding for failure-prone channels (dropout/IDS-style corruption)· Constraint-aware archival storage backends with learned reconstruction (DNA-based channels as an example backend)· Structured 3D representations and hierarchical optimization (3D Gaussian Splatting)· LLM-based analysis of multilingual cultural translation in brand narrativesAlways happy to help think through tricky system problems. Reach out if you want a fast sanity check on a system idea: l••••••••@gmail.com

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