Danqi Wang

About Me.

Biomedical Data Scientist

"Be curious about the world, and discover the secret of data."

I got my first master's degree in Pharmacy (clinical proteomics domain), with 7+ years of working experience in wet biological labs.

I joined Fraunhofer SCAI - AI and Data Science team as a student research assistant in May 2022.

Now I am a team member of the AIOLOS Project, mainly in charge of generating an early ALERT model for the COVID-19 pandemic.

My research interest focuses on Information retrieval, Time series data engineering, and NLP in Biomedical domain.


Food Blogger

I love cooking and baking, and you can also find me in the Chinese Xiaohongshu APP (ID: 111503625) or Visit my Blog.


Part-time Painting artist

I started painting when I was six years old, and am good at sketching figures.

Personal Information

  • NameDanqi Wang
  • ResidenceBonn, Germany
  • Emaildanqi1013@gmail.com
  • Phone(+49) 15201036331

Hobbies

Baking

Painting lover

Photography

Outdoor sports

My Resume.

Experience

  • Student Research Assistant

    Fraunhofer SCAI, Sankt Augustin, Germany

    AIOLOS PROJECT - ALERT model
    - Rule-based text mining approach to generate COVID-19/symptom knowledge graph.
    - Generation of multidimensional, quantitative, longitudinal datasets from social media platforms (Google Trends and Twitter).
    - Implementation of algorithms (SH_ESD test, isolation forest and LSTM autoencoder) to detect anomalies in time series data.
    - Time series trend analysis: log-linear regression model.
    - Trend forecasting model generation (sliding window Random Forest and LSTM) and predict onset waves of RKI confirmed cases and hospitalization in Germany.

    Now May 2022
  • PhD Student Researcher

    Heinrich-Heine-Universität, Düsseldorf, Germany

    Cross-link mass-spectrometry investigation of Drosophila lipid droplet-associated proteome

    Jul 2020 Oct 2018
  • Lab Intern

    Leibniz Institute on Aging, Lipmann Institute, Jena, Germany

    Cell culture and genetic engineering.

    Dec 2017 Oct 2017
  • Lab Secretary

    Dalian Medical College, Dalian, China

    Communicated with supplies and equipment departments.
    Management of lab operation.
    Lab tutorial: i.e., teaching materials and reagents preparation.

    Sep 2017 Dec 2015

Education

  • Master of Science: Life Science Informatics

    Universität Bonn - Bonn, Germany

    Courses: Biomedical Data Science and AI, Programming lab (Git, Object‑Oriented‑Programming, Click, API, Unit test, Packaging, SQLalchemy, GUI, Containerization and Docker), Machine Learning Hands on, Computer Science for life sciences, Visual Computing in life sciences
    Master thesis: Development of an early alert model for COVID-19 pandemic situations

    Now Oct 2020
  • Master of Pharmacy

    Chinese Academy of Medical Sciences, Tsinghua University - Beijing, China

    Master thesis: Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics.
    GPA: 3.51/4.0

    2013 2012
  • Bachelor of Science: Biotechnology

    Minzu University of China - Beijing, China

    GPA: 3.57/4.0

    2012 2011

Programming Skills

Python

80%

SQL

70%

CSS/FLASK/HTML

75%

Soft Skills

Project management

85%

Time management

90%

Teamwork

85%

Scientific presentation

95%

Publication.

1. Jonas Botz, Danqi Wang, Nicolas Lambert, et al. Modeling Approaches for Early Warning and Monitoring of Pandemic Situations as well as Decision Support. Front. Public Health. Sec. Digital Public Health. 2022 Oct; doi: 10.3389/fpubh.2022.994949.

2. Haidan Sun, Danqi Wang, Dongfang Liu, et al. Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics. Analytical and Bioanalytical Chemistry, 2019 Apr; 411(11): 2273‑82. doi: 10.1007/s00216‑019‑01668‑7. (Cited by 14)

3. Zhengguang Guo, Yang Zhang, Lili Zou, Danqi Wang, Chen Shao, Yajie Wang, Wei Sun, Liwei Zhang. A Proteomic Analysis of Individual and Gender Variations in Normal Human Urine and Cerebrospinal Fluid Using iTRAQ Quantification. PLOS ONE, 2015 Jul; 14(4): e0213213. (Cited by 65)

4. Peng Zhang, Zhengguang Guo, Yang Zhang, Zhixian Gao, Nan Ji, Danqi Wang, Lili Zou, Wei Sun, Liwei Zhang. A preliminary quantitative proteomic analysis of glioblastoma pseudoprogression. Proteome Sci, 2015 Mar; 13:12. doi: 10.1186/s12953-015-0066-5. eCollection 2015. (Cited by 14)

5. Danqi Wang, Wei Sun. Urinary extracellular microvesicles: Isolation method and prospects for urinary proteome. Proteomics. 2014 Aug; 14(16): 1922‑32. doi: 10.1002/pmic.201300371. (Cited by 86)