Yannan Su
Data Scientist | AI x Health Enthusiast
Ph.D. in Computational Neuroscience
based in Germany
now at Alpine Institute
More About Me: LinkedIn|GoogleScholar|Digital Garden
In my spare time, I take photos, read books , and write blog in Chinese.
Portfolio
Selected Projects
Research Projects - Visual Information Processing
Psychometrics | Bayesian Models | Mathematical Approaches
During my Ph.D. in computational neuroscience, I studied how visual perception works as an “unconscious inference” and how our brain uses computational representations to process visual information.
Learn more about my research projects
Daily progress in my PhD journey
Data Visualization | Interactive Dashboard
Approaching the end of my PhD, I set up a daily standup meeting and recorded my daily progress in a spreadsheet. This app is to visualize the data and help me to track my progress.
View dashboard app or View code on Github
Diabetes health indicator
Classification | Model Tuning
Early diagnosis of diabetes is important to prevent the onset of complications. From survey data, I found health indicators that are most associated with diabetes.
Music effects on mental health
Exploratory Data Analysis | Correlation
How music affects our mental health? In this notebook, I used survey data to explore participants’ music listening habits and mental health status.
BCG Virtual Experience Program - Customer Churn Prediction
Business Understanding and Strategies | Classification
In this open-access BCG Virtual Experience Program with Forage, I built a predictive model that can identify customers at high risk of churn for a utility company.
All Projects
Symptoms to diagnosis using NLP
NLP | Word Cloud | Neural Network | TensorFlow
NLP seems becoming powerful in the field of healthcare. In this project, I explore how to infer disease from symptoms using language processing and neural networks.
Spotify music recommender
Recommender System | Dimensionality Reduction | Streamlit App
I used Spotify’s audio features to build a music recommender system. I further developed a web app in which the recommender system can be customized by selecting the features.
View code on Kaggle or View App
Rental offers in Munich
Geodata | Regression
Hunting for a new apartment in Munich? I analyzed the data from Immobilienscout24 to find what factors affect the price of a rental offer in Munich.
A Starter for Forecasting Time Series
Time Series | Forecasting
Which methods are suitable for forecasting time series? I made a starter notebook to explore different models and find the best method to predict sales data.
Introduction to Probabilistic Programming with NumPyro
Bayesian | NumPyro
Probabilistic programming is a powerful approach to statistical modeling. In this tutorial, I introduced the basics of probabilistic programming with NumPyro.
Forest Cover Type - Compare Classification Algorithms
Classification | Model Tuning
In this project, I predicted the forest cover type (the predominant kind of tree cover) from strictly cartographic variables (as opposed to remotely sensed data). I compared different classification models and applied hyperparameter tuning to the best model.
Catch the CATs - Explore Feature Engineering
Exploratory Data Analysis | Feature Engineering
In this project, I performed feature engineering on various features, including binary features, low- and high-cardinality nominal features, low- and high-cardinality ordinal features, and (potentially) cyclical features.