Tianzhixi (Tim) Yin

Tianzhixi (Tim) Yin Email and Phone Number

Tianzhixi (Tim) Yin's Location
Richland, Washington, United States, United States
Tianzhixi (Tim) Yin's Contact Details

Tianzhixi (Tim) Yin personal email

n/a

Tianzhixi (Tim) Yin phone numbers

About Tianzhixi (Tim) Yin

I am a data scientist who loves to answer meaningful questions using data. I used to do a lot of statistical analysis, now I spend most of my time developing deep learning models and reinforcement learning algorithms, and utilizing LLM for research. During my PhD years, I was applying machine learning/data mining techniques to the smart grid big data. Now I am collaborating with scientists from various fields (electrical engineers, material scientists, and biologists) to conduct cutting-edge research using AI/ML.

Tianzhixi (Tim) Yin's Current Company Details
Pacific Northwest National Laboratory - PNNL

Pacific Northwest National Laboratory - Pnnl

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Data Scientist
Tianzhixi (Tim) Yin Work Experience Details
  • Pacific Northwest National Laboratory - Pnnl
    Data Scientist
    Pacific Northwest National Laboratory - Pnnl May 2018 - Present
    Richland, Wa, Us
    1. Applied uncertainty quantification (UQ) methods for deep learning models in predicting electric energy storage material properties and utilized UQ for active learning.2. Used Gaussian process regression (GPR), Bayesian optimization, and large language models (LLM) to automate material discovery.3. Trained reinforcement learning agents for dynamic grid control in a parallel computing environment.4. Used graph neural network (GNN) to detect cyber attacks in power systems.5. Used deep neural network to predict power transmission line overloading and recommend remedial actions in the cascading contingency cases.6. Used convolutional neural network (CNN), long short-term memory (LSTM), and transfer learning to detect high impedance faults in the power system.7. Used CNN and transfer learning to detect eels in the sonar images.
  • University Of Wyoming
    Research Assistant
    University Of Wyoming Jan 2015 - May 2018
    Laramie, Wy, Us
    1. Conducted data mining and statistical analysis within massive time series datasets to classify and locate simulated power system events.2. Created data visualization using clustering and spectral analysis to discover outliers within power system events.
  • University Of Wyoming
    Teaching Assistant
    University Of Wyoming Aug 2013 - Dec 2014
    Laramie, Wy, Us
    Taught in lab sessions to review course materials. Helped students to finish practice problems and homework. Led group discussion. Graded homework and exams.
  • Pacific Northwest National Laboratory - Pnnl
    Applied Statistics & Computational Modeling Intern
    Pacific Northwest National Laboratory - Pnnl May 2017 - Aug 2017
    Richland, Wa, Us
    1. Applied multiple machine learning algorithms and statistical models (random forest, neural network, logistic regression, gradient boosting, support vector machine and etc.) for detecting and classifying power system events.2. Detected 99% of the recorded events and classified them with 98% accuracy through model selection, hyper-parameter tuning, and cross-validation.3. Conducted cluster analysis (K-means, hierarchical clustering, DBSCAN, and gaussian mixture model) on power grid spectra to detect abnormal modal behaviors.
  • Pacific Northwest National Laboratory - Pnnl
    Applied Statistics & Computational Modeling Intern
    Pacific Northwest National Laboratory - Pnnl May 2016 - Aug 2016
    Richland, Wa, Us
    1. Analyzed the impact of different speeds of streaming data on feature extraction regarding unbiasedness and variance.2. Proposed a data compression approach that led to faster data visualization and analytics.3. Designed a dashboard using R Shiny and interactive data visualization using rCharts to improve user experiecne.4. Investigated uncertainty quantification for an electricity price forecasting model.
  • West, Inc.
    Data Qa/Qc Team Intern
    West, Inc. May 2014 - Aug 2014
    Cheyenne, Wy, Us
    Wrote R functions that automatically flag unusual data instances in a MS SQL data server.
  • Aviva-Cofco Life Insurance Company
    Summer Internship
    Aviva-Cofco Life Insurance Company Jul 2011 - Aug 2011
    朝阳区, 北京, Cn
  • Industrial And Commercial Bank Of China
    Summer Internship
    Industrial And Commercial Bank Of China Jul 2010 - Aug 2010
    Beijing, Beijing, Cn

Tianzhixi (Tim) Yin Skills

Statistics R Data Analysis Matlab Actuarial Science Machine Learning Data Mining Python Predictive Modeling Data Visualization Experimental Design Data Science Deep Learning Microsoft Excel Access Vba Probability Statistical Modeling Actuaries Spss Microsoft Office Research Mathematical Modeling

Tianzhixi (Tim) Yin Education Details

  • University Of Wyoming
    University Of Wyoming
    Statistics
  • Fox School Of Business At Temple University
    Fox School Of Business At Temple University
    Actuarial Science
  • Xiamen University
    Xiamen University
    Mathematics And Applied Mathematics

Frequently Asked Questions about Tianzhixi (Tim) Yin

What company does Tianzhixi (Tim) Yin work for?

Tianzhixi (Tim) Yin works for Pacific Northwest National Laboratory - Pnnl

What is Tianzhixi (Tim) Yin's role at the current company?

Tianzhixi (Tim) Yin's current role is Data Scientist.

What is Tianzhixi (Tim) Yin's email address?

Tianzhixi (Tim) Yin's email address is ty****@****wyo.edu

What is Tianzhixi (Tim) Yin's direct phone number?

Tianzhixi (Tim) Yin's direct phone number is +130776*****

What schools did Tianzhixi (Tim) Yin attend?

Tianzhixi (Tim) Yin attended University Of Wyoming, Fox School Of Business At Temple University, Xiamen University.

What are some of Tianzhixi (Tim) Yin's interests?

Tianzhixi (Tim) Yin has interest in Machine Learning Data Mining Analytics.

What skills is Tianzhixi (Tim) Yin known for?

Tianzhixi (Tim) Yin has skills like Statistics, R, Data Analysis, Matlab, Actuarial Science, Machine Learning, Data Mining, Python, Predictive Modeling, Data Visualization, Experimental Design, Data Science.

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