Advisor

• Nov 2020 - Present

Software Engineer

• Jul 2019 - Present

Algorithm Developer

• Aug 2017 - Jul 2019

- Develop motion planning algorithms - Evaluate and implement camera- and radar-based algorithms - Develop and maintain specialized GUI tools for system performance analysis - Develop algorithms for automotive active safety systems - Experimental validation and performance evaluation on test vehicles - Work with customers to develop and implement enhancements to address real-world performance issues - Represented company in CES 2018 as an autonomous vehicle drive presenter - Develop motion planning algorithms - Evaluate and implement camera- and radar-based algorithms - Develop and maintain specialized GUI tools for system performance analysis - Develop algorithms for automotive active safety systems - Experimental validation and performance evaluation on test vehicles - Work with customers to develop and implement enhancements to address real-world performance issues - Represented company in CES 2018 as an autonomous vehicle drive presenter

Research Assistant

• May 2014 - Jul 2017

Designed and developed efficient algorithms for extracting significant information from large scale data.1. Developed an efficient C++ package for compressing and analyzing large scale data.2. Generalized two compressed sensing algorithms so that they can be used in real cases.3. Developed a new dimension reduction method by using topological data analysis.

Teaching Assistant

• Jul 2012 - May 2015

1. 8 Semesters experience as an instructor of senior-level Calculus and introductory-level Algebra classes for40-130 undergraduate students from different majors at Michigan State University.2. Excellent result in midterm and final evaluation among all teaching assistants.

Data Scientist Summer Intern

• May 2016 - Jul 2016

1. Build models using ARIMA, kernel SVR and Neural Network to improve the accuracy and help Ford gain more insight view of cash flow forecasting problem. 2. Tried to build a synergistic market analysis model by using methods in Network Analysis to understand the relation between Ford, its suppliers and its competitors in the market. 3. Learned financial and enterprise risk knowledge, participated the development of Ford's Enterprise Risk Database. 1. Build models using ARIMA, kernel SVR and Neural Network to improve the accuracy and help Ford gain more insight view of cash flow forecasting problem. 2. Tried to build a synergistic market analysis model by using methods in Network Analysis to understand the relation between Ford, its suppliers and its competitors in the market. 3. Learned financial and enterprise risk knowledge, participated the development of Ford's Enterprise Risk Database.

Software Developer

• Aug 2009 - Jul 2010

1. Implemented a new numerical scheme for Partial Differential Equation. 2. Collaboratively worked on developing a digital image processing software using C++. 3. Built two other models: simulate the growth of wheat and soil-water saturation. 1. Implemented a new numerical scheme for Partial Differential Equation. 2. Collaboratively worked on developing a digital image processing software using C++. 3. Built two other models: simulate the growth of wheat and soil-water saturation.

Data Analyst

• Jun 2008 - Sep 2008

1. Found potential customers by using data mining skills on Python. The work consists of data cleaning, feature selection, model design, model training, cross-validation, and presentation. 2. The model increased the probability to successfully find potential customers by 3 times compared with the previous method. 1. Found potential customers by using data mining skills on Python. The work consists of data cleaning, feature selection, model design, model training, cross-validation, and presentation. 2. The model increased the probability to successfully find potential customers by 3 times compared with the previous method.