Education

• Ph.D, Northwestern University, 2020 (2021 conferred)
• M.S., Penn State University, 2014 (2015 conferred)
• B.E., China University of Petroleum, 2012

Work experience

• Peking University (2024 - Now): Assistant Professor
• Yale University (2021 - 2023): Postdoctoral Researcher
• Northwestern University (2015 - 2020): Research and Teaching Assistant
• Penn State University (2012 - 2014): Research Fellow
• Industry: EQT(2014 - 2015)

Skills

• Analytical tools:
  • Isotopes: IRMS, TIMS, MC-ICP-MS, LA-ICP-MS
  • Elements: ICP-MS, ICP-OES, Coulometer
  • Imaging: SEM, TEM, Raman Spectroscopy, Neutron Scattering
• Programming Languages:
  • Object-oriented design using Java
  • Web development using HTML, CSS, JavaScript
  • Machine Learning and statistical analysis using R, Python
• Databases:
  • Relational databases (MySQL)
  • Non-relational database (MongoDB)
  • Graph databases (neo4j)

Awards and leadership

• Agouron Geobiology Fellowship (2022)
• Sloss Award, Northwestern (2021)
• President, Chinese Student and Scholar Association at Northwestern (2016-2018)
• Contributor, Northwestern Inclusion and Diversity Report (2017/2018)
• Medill Science Writing Fellow, Northwestern (2018)
• Northwestern Outstanding Graduate Fellowship (2015)
• Graduate Research Fellowship, Geological Society of America (2014)
• Imperial Barrel Award, American Association of Petroleum Geologists (2014)
• Cheaspeake Award, Penn State (2013)
• Shell Energy Research Grant, Penn State (2013)
• National Scholarship of China (2011/2010)

Technical Projects (Big Data and Machine Learning)

• Deterministic Security Log Analysis and Visualization System (Paper accepted in ACM CSS 2020) (Instrumentation-free user-centric attack investigation system with high level semantics by JAVA)
  • Helped to design system architecture and algorithms to extract information from system logs
  • Designed data process application, leveraged Longest Common Subsequence (LCS) algorithm to extract common patterns from massive log (>100Gb), and generate ready-to-use JSON file
  • Developed a website for users to upload collected logs (Java Spring MVC) and to visualize those logs and their semantics interactively (Google Catapult Trace-View JavaScript frontend)
  • Implemented Google Catapult Trace-View to visualize recorded events and their semantics
  • Built graph databases (neo4j) to store the graphical dependency of system events and optimized the data import time by >100 times
• Production Target Area Forecast, EQT Corporation (Applied scientist Intern – Pattern recognition and machine learning using R)
  • Implemented principle component analysis, multiclass classification, and regression in R to analyze multi-dimensional Giga-bytes-data (1000+ wells) for shale-gas production
  • Optimized the multivariable statistical model for exploration area prediction, reduced error by 72%
  • Trained supervised machine learning models including Logistic Regression, Random Forest and KNearest Neighbors, and applied regularization with measured parameters to overcome overfitting
  • Delivered 6 maps for production decision. Presented directly to the CEO and management team