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About me

About me

I am Marlene Lin, a neuroimaging data analyst at the Rabinovici Lab at UCSF Fein Memory and Aging Center, where I apply computational approaches to characterize heterogeneity in neurodegenerative diseases and inform clinically relevant research.
Outside of work: wannabe conversation collector and serial hobbyist; current fixations include salsa dancing, junk journaling, symphony-going.

 
🖇️ LinkedIn
🤖 Github
📄 Resume

Highlights

Data-driven Tau-PET Subtypes in Early-onset Alzheimer's Disease
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AI-Guided Surgical Blood Transfusion Need Prediction
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Data Sciences Help Desk Dashboard
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Breast Lesion Classification with MRS
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(Enough) About Me

Research

Publications

M. Lin, K. Chiotis, P. Maiti, J. Zhang, G. Blazhenets, et al. (2026). Tau Topography Subtypes Account for Clinical Heterogeneity and Longitudinal Trajectories in Early-Onset Alzheimer’s Disease. Brain Communications, 8(3), fcag176. https://doi.org/10.1093/braincomms/fcag176
A. Bishara, M. Lin, J. Digitale, J. W. L. Yim, H. Soleimani, et al. (2025). AI-Guided Surgical Blood Readiness: Overcoming Real-World Challenges in Prospective Validation for Safer, More Efficient Blood Preparation. NEJM AI, 2(12). https://doi.org/10.1056/aioa2401198
A. Joy, M. Lin, M. Joines, A. Saucedo, S. Lee-Felker, et al. (2023). Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging. Metabolites, 13(7), 835. https://doi.org/10.3390/metabo13070835
S. Pezzoli, A. P. Oddi, G. Blazhenets, P. A. Castruita, M. Lin, et al. (In press). APOE genotype and amyloid PET in mild cognitive impairment or dementia: Results from a real-world clinical study. Neurology.

Conferences

CTAD 2026
R. La Joie, M. Lin, et al. When Is Amyloid Really Cleared? Discordance Between Centiloid Quantification and Visual Reads after Treatment. Abstract | Accepted oral presentation
G. Blazhenets, M. Lin, et al. Longitudinal Amyloid-PET Trajectories in Early- versus Late-Onset Alzheimer’s Disease: LEADS and ADNI. Abstract | Poster
AAIC 2026
S. Pezzoli, D. N. Soleimani-Meigooni, M. Lin, et al. Progression in Amyloid-PET-Negative Patients with a Clinical Diagnosis of Sporadic Early-Onset Alzheimer’s Disease. Abstract | Poster
Tau 2026
R. La Joie, M. Lin, et al. Plasma p-tau217 in Sporadic Early-Onset Alzheimer’s Disease: Associations with PET and Clinical Progression. Abstract | Poster
AAIC 2025
M. Lin, P. Maiti, et al. Tau Topography Subtypes in Early-Onset Alzheimer’s Disease: Clinical Heterogeneity and Propagation Patterns. Best Poster Award. Abstract | Poster

Misc.

Research

Prevalence of Diabetes Screening, Pre-diabetes Testing, and Nutrition Counseling March 2024 with Dr. Yoshimi Fukuoka, UCSF School of Nursing 📄 Analysis Plan (Feb) Characterize the prevalence of encountered for diabetes screening, testing for pre-diabetes, and nutrition counseling among different demographic groups using EHR data
Breast Lesion Classification with DWI and 5D MRSI data 📄 Poster & Presentation June 2023 with Thomas Lab, UCLA Magnetic and Resonance Research Labs Ensemble Learning Breast Lesion Classification using Magnetic Resonance Spectroscopic Imaging and Diffusion-weighted Imaging
MATLAB Magnetic Resonance Spectroscopy Processing Application 📄 Doc Nov 2022 with Thomas Lab, UCLA Magnetic and Resonance Research Labs Developed MATLAB applications for in-depth processing and annotations of multidimensional Magnetic Resonance Spectra data.
Bone Age Assessment with Added Features Dec 2021 📄 Report Re-implemented a deep-learning model for bone age regression with an attention-guided localization network and label distribution learning-based regression network. Incorporated ethnicity information from the Digital Hand Atlas data to improve the accuracy of bone age prediction.  
Literature Review: Application of Gene Drive March 2020 📄 Report Future gene drive applications: concerns, regulations, and communication

Data Analysis

Library Data Sciences Help Desk Dashboard May 2025 Git
Adverse outcome prediction of neurosurgical cases Aug 2023 📄 Report
Associations between non-physical adult mistreatment and adolescent eating disorders Dec 2022 📄 Report
全国一二线城市医疗市场分析报告 (5p) Aug 2021 📄 Report
杭州数字医疗峰会总结 July 2021 📄 Report
跨境医疗政策开放正面影响 June 2021 📄 Report

Intro to Python Blogposts

Pseudo-alignment Implementation April 2023 Read More Finding the vector of equivalence class counts given FASTA format RNA Data.
NIH Funding Dashboard March 2023 Read More An interactive web-based data dashboard that monitors and showcases trends in research projects supported by the National Institutes of Health (NIH)
Message Bank March 2023 Read More Creating a flask-based online message bank deployed as a Python web app using the Google Cloud service and MySQL database.
Cast-based Show Recommendations Feb 2023 Read More Scraping through the TMDB movie database to come up with show recommendations based on a similar cast.
Basic Classification 1: Cat v.s. Dog pics Jan 2023 Read More Improving cat v.s. dog classification with data augmentation and preprocessing using TensorFlow.
Basic Classification 2: False v.s. Real news Jan 2023 Read More Building a machine learning & N-Gram-based fake news classification model.
Basic Classification 3: Penguin Classification Dec 2022 Read More Penguin Classification using multiple sklearn models and visualization using Seaborn.

American Statistical Association DataFest

ABA Pro Bono Service Dataset 2023, Finalist 📄 Pitch Strategize Attorney Training Based on Cycle Time & Conversation Emotion
PlayForward Game Stats Dataset 2022 📄 Pitch Characterize Student Players Based on Avatar Choice & Gaming Experience

Trivia

Header = Sayram Hu, Xinjiang (2008 Aug) | To-Read List (2026 - )
Fun fact? My friend got me a “already thinking about my next coffee” mug but I reserved it exclusively for tea drinking. Recipe: brown sugar syrup line the cup, hojicha, a splash of sikhye, and a sprinkle of salt. Let it sit for 10 minutes and then 叹茶 :)
 
 
 
 
 
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