Maya Zhe Wang, Ph.D. Email & Phone Number

• __LLM Development__:
• Develop V1.2 of an in-house-built hierarchical healthcare LLM: expand intake data source, develop domain-specific tokenizer & embedding approach, update core architectures, expand fine-tuning tasks
• Conducted studies of V1.0 and V1.1 LLM output embeddings, with validation & explainability analyses (manifold analysis, UMAP, t-SNE, shuffling)
• Delivered POC use case of V1.0 and V1.1 LLM in predictive models
• Experimented on bias testing & bias mitigation of the LLM
• Contributed to the technical portion of the patent application__Data Science__:

Bethesda, Maryland, United States

• __Data Science__:
• Developed data collection, integration, management, mining, and cleaning pipelines
• Developed data analysis pipelines in MATLAB, R, and Python- parametric & non-parametric statistical tests- lasso mixed-effect multiple logistic regression- supervised learning (SVM, LDA, Naïve Bayes)- unsupervised.
• Data visualization with MATLAB, ggplot (R), Matplotlib (Python), Seaborn (Python)
• Developed additional data science skills- explored & analyze Chicago census, public school, and crime databases w/ SQL & Python- conducted web scraping and Natural Language Processing analysis of job postings in.
• Investigated behavior, neural computation, and neural perturbation in brain circuits related to dynamic sequential decision making (reward, choice, planning) and their implication in mental health conditions

• __Data Science__:
• Developed data collection, cleaning, and analyses pipelines for all 10+ projects
• Implemented deep learning models to classify neural activities and predict behavior
• Built analysis pipelines to study time series of circuit communication in multiple brain regions with mutual information, clustering, classification, and regression
• Designed an RNN w/ neuro-inspired backpropagation property for computational causal perturbation (computational ablation & noise-injection) which led to experiments for a multi-million-dollar grant__Scientific Research.
• Designed, led, and managed 10+ system/computational neuroscience experiments (decision-making, RL, planning)

Doctor Of Philosophy - Phd, Neuroscience

Master'S Degree, Brain And Cognitive Sciences

Bachelor Of Science - Bs, Psychology