CV

General Information

Full Name Ling Tong
Date of Birth June 1st, 1994
Languages Chinese, English
Research Areas Biomedical Informatics, Machine Learning, Data Science, Statistical Analysis
contact ltong [at] uwm [dot] edu

Education

  • 2022
    PhD, Biomedical and Health Informatics
    University of Wisconsin Milwaukee
    • Program - College of Health Sciences
    • Thesis - Transforming and Formalizing Electronic Health Records for Machine Learning Diagnostic Models
  • 2017
    B.S. Computer Science
    University of South China
    • Thesis - Classifying Weibo Tweets for Tracking Influenza

Research Experience

  • 2017 - 2022
    Research Assistant, Biomedical Data and Language Processing Lab
    University of Wisconsin Milwaukee
    • Data-driven predictive analysis using machine-learning algorithms such as data mining, natural language processing and knowledge representation and modelling.
    • Discovering gaps between demographical, socioeconomic, and diagnostic factors from Electronic Health Records using Statistical Methods
  • 2016 - 2017
    Research Assistant, Dr Lingyun Luo's lab
    University of South China
    • I worked with Dr Lingyun Luo to develop experiment and design models provided for evaluating granularity balance of semantic relationships in medical terminology corpus.
    • Manuscript `Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvement` was published in Journal of Biomedical informatics.

Teaching Experience

  • 2019 - 2022
    Lecture Instructor - Computational Tools for Healthcare Professionals
    University of Wisconsin Milwaukee
    • This lecture focused on healthcare introduction of computational tools for information management, including system architecture, process, and ethical concepts. The course incorporates training in Microsoft Excel application software.
  • 2018
    Teaching Assistant, Health Big Data Processing Platforms
    University of Wisconsin Milwaukee
    • This teaching assistant focused on the implementation of Big Data Processing Platforms for healthcare. I helped students to deploy data analysis platform (Apache Spark), answer questions, and provide feedbacks.

Work Experience

  • 2020
    Data Analysis Engineer
    University of Wisconsin Milwaukee
    • I worked part-time on data analysis, visualizations, and development of predictive model for DNC project - A Big Data Lens on the Elections. We tracked the major issues engaging both candidates and voters in the 2020 US election cycle. We applied a social curation technique to multiple sources of data ranging from traditional political polls and debate transcripts to political advertising and social media dialogue.
  • 2016
    Test Engineer
    Software Test Center of Hunan Province, China
    • During this internship, I focus on automatic test script and performance analysis using document management tool. I also developed a git to monitor use-case testing and defects maintenance work.

Scholarly Reviewed Journals

  • Applied Clinical Informatics
  • American Medical Informatics Association, 2022 Symposium
  • Biomedical Signal Processing and Control
  • Computers in Biology and Medicine
  • Health Informatics Journal
  • IEEE Journal of Biomedical and Health Informatics
  • Journal of Medical Internet Research (JMIR)
  • JMIR Public Health and Surveillance

Presentations

  • Ling Tong, Jake Luo, Jazzmyne adams, Kristen Osinski, Xiaoyu Liu, David Friedland, A Clustering-Aided Approach for Diagnosis Prediction - A Case Study of Elderly Fall. (2022) IEEE 46th Annual Computers, Software, and Applications Conferences COMPSAC.
  • Ling Tong, Predicting the Clinical Outcomes from Clinical Trial Data using Machine Learning, presenting at 2019 Health Research Symposium at University of Wisconsin Milwaukee.
  • Ling Tong, Jake Luo, Ron Cisler, Michael N. Cantor, Machine Learning-based Prediction of Death Events in Clinical Studies Using Big Clinical Trial Data, In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
  • Ling Tong, Jake Luo, From Phone to Medical Database - An Automatic Document Processing System for Clinical Laboratory Test, Presenting at 2019 Research Poster Competition, University of Wisconsin Milwaukee.
  • Neil K. Osafo, BS; David R. Friedland, MD, PhD; Michael S. Harris, MD; Jazzmyne Adams, MPH; Chasity Davis; Ling Tong; Jake Luo, PhD, Standardization of Outcome Measures for Intratympanic Steroid Treatment for Idiopathic Sudden Sensorineural Hearing Loss (podium), Combined Otolaryngology Specialties Meeting (COSM), Dallas, TX, 04/27/2022 - 05/01/2022
  • Erin Harvey, MD; Katarina Stark, BS; David R. Friedland, MD, PhD; Jazzmyne A. Adams, Michael S. Harris, MD, Ling Tong MS, Jake Luo PhD, Impact of Demographics and Clinical Features on Initial Treatment Decision Making in Vestibular Schwannoma, 57th Annual Ans Spring Meeting, Dallas, TX, 04/29/2022 - 05/01/2022
  • Ling Tong, Jake Luo, Ron Cisler, Michael N. Cantor, Machine Learning-based Prediction of Death Events in Clinical Studies Using Big

Awards and Fellowship

  • 2017-2019
    Chancellor's Graduate Student Awards by University of Wisconsin Milwaukee ($8,000)
  • 2016-2017
    Hunan Province Undergraduate Student Research and Innovative experiment Project (CNÂ¥ 10,000)

certificates

  • 2022
    Basic Life Support Provider - Authorized by American Heart Association
  • 2022
    Certified Medical Coder - American Association of Professional Coders (AAPC)
  • 2019
    Professional Data analytics - Google's Professional Certificate
  • 2019
    Member - American Medical Informatics Association
  • 2017
    Data Science specialization Certificate - Coursera
  • 2017
    Member - IEEE (Institute of Electrical and Electronics Engineers)