Industry

Corning Incorporated 

Development Associate & Manager, Machine Learning

I. Building and leading a team of PhD machine learning modeling engineers

• Responsible for hiring, talent planning and growth, capability development, and general team management, etc. 

• Interacting with internal customers and initiating and managing a large project portfolio of valuing-adding analytical projects across RD&E and business divisions, representative examples including:

  • Image and video analytics for defect identification and manufacturing process anomaly detection

  • Time series data analysis of business data and manufacturing sensor data

  • Text analytics on scientific literatures, and internal research reports

  • Materials properties prediction for both polymer and glass

  • Geospatial analytics for 5G densification

  • Reinforcement learning for new materials/products design
    
    
    

II. Leading analytical support for the development of new manufacturing processes for advanced optics division (semiconductor), defining universal part quality metrics, extracting insights from data to help improve manufacturing process design, and monetizing data.

III. Collaborated with chief strategy officer office to support the analytical decision of CSO and CFO, representative projects including: 

• Built predictive models for business demand and revenue forecast

• Created analytical tools for foreign currency hedging strategy design and evaluation 

• Evaluated different financial tools for stock repurchase options

• Analyzed institutional holdings data for better prospective investor targeting and city visit planning 

• Performed text analytics for industrial sector change recommendation, earning call transcripts improvement, industrial trend analysis , and stock price prediction 

• Valuation of convetible preferred shares 

IV. Worked with CDIO and led a cross-functional team to forecast the supply and demand of precious metals for operational planning of melting tank re-builds. The project was selected as one of the finalists for 2023 Manufacturing Leadership Awards.

V. Acted as capability team lead in the Technology Community team

• Analyzed the current project portfolio and performed interviews to better understand the current digital capability in the technology community 

• Established collaborations with academia (Cornell on materials informatics, UMN on time series analysis, and UoR on multi-modal data analysis) and industrial companies (contributed)

Awards  

• Multiple recognitions, including from CFO, CSO, and CDIO on separate projects

• Individual outstanding contributor award - 2021

  • highly selective for exemplary performance that directly contributes to the company's results, approved by the Boards of Directors 

• Engineering Achievement Awards - 2023 

  • recognizing significant technical achievement, one individual each year 

• Division recognition from Corning Display Technology, Approved by Boards of Directors - 2024