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: unserious conversation collector and serial hobbyist. Current fixations include salsa dancing, junk journaling, symphony-going.
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
Projects
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 & PresentationJune 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 📄 DocNov 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 📄 ReportRe-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 📄 ReportFuture 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
Pseudo-alignment Implementation April 2023 Read MoreFinding 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 📄 PitchStrategize Attorney Training Based on Cycle Time & Conversation Emotion
PlayForward Game Stats Dataset 2022 📄 PitchCharacterize Student Players Based on Avatar Choice & Gaming Experience
Education
University of California, San Francisco (2023 - 2025)
M.S. in Health Data Science Thesis: Tau PET Subtypes account for Clinical Heterogeneity and Longitudinal Progression in Sporadic Early-onset Alzheimer’s Disease. Brain Communications. 2026; 8(3):fcag176.
University of California, Los Angeles (2019 - 2023)
B.S. in Computational Biology, StatisticsThesis: Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging. Metabolites. 2023; 13(7):835.
Co-teach R and Python programming workshops on topics including data visualization, statistical analysis, and machine learning.
Offer 1:1 programming and data analysis consultation to UCSF community members during weekly data science help desk.
Assist with other projects including updating online course materials, creating subject guides and help articles, and presenting library resources to UCSF members.
Optimized machine learning models for perioperative transfusion prediction through feature engineering, hyperparameter tuning, and threshold calibration, substantially improving precision.
Validated model performance against surgical blood-ordering guidelines and clinician practices using retrospective and silent prospective data, informing deployment for preoperative decision support.
Led visualization and reporting for Learning Health System meetings, collaborating with data scientists, clinicians, and health IT stakeholders to communicate findings and align priorities.
Developed MATLAB applications for in-depth processing and annotations of multidimensional Magnetic Resonance Spectra data.
Tuned parameters and assessed the performance of various MR spectroscopy reconstruction methods, reducing MR spectroscopy scan time by at least two-fold.
Characterized brain MR Spectroscopy data of obstructive sleep apnea and pediatric AIDS patients.
Construct ensemble learning models to classify breast tumors based on 5D MR Spectroscopy quantitation
Encouraged growth-oriented mindsets among students and created an equitable STEM learning environment by fostering student collaboration as a peer educator.
Effectively explained course concepts and expanded peers’ understanding of the relevant materials in discussions, course workshops, and review sessions.
Formulated ways to improve course structure and helped maintain clarity within the course by consistently communicating with instructors in weekly meetings.
Directed detailed regional analysis of the healthcare sector in major cities of China to provide insights on the department’s Direct-to-Patient service deployment.
Collected and analyzed data on medical resources distribution, international and domestic health product sales, and health expenditures of different communities.
Conducted on-site investigations of various pharmacy chains and delivered relevant reports to support the department’s business acquisition plan.
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 :)
