Cheng Wang

Senior Scientist @ Icahn School of Medicine at Mount Sinai

About

5 years of experience leveraging data mining to deliver impactful insights and solutions. Solid background in statistical analysis, machine learning with real-world applications to biochemical, image and text data.

Country

United States

City

New York

Industry

Biotechnology

Skill

Microsoft Office, Python, Databases, MySQL, Data Analysis, Natural Language Processing, Machine Learning, Data Mining, Deep Learning, TensorFlow, Bayesian inference, SAS Programming, MongoDB, Chemistry, Microsoft Excel, PowerPoint, Microsoft Word, Python (Programming Language), Research, Science

Experience

Senior Scientist

Icahn School of Medicine at Mount Sinai

2024-11 - Present · 1 yr 11 mos

New York, New York, United States

Senior scientist in the Department of Genetics and Genomic Sciences in Icahn School of Medicine at Mount Sinai.

Assistant Professor

Shandong University

2021-6 - 2024-10 · 3 yrs 5 mos

Jinan, Shandong, China

Assistant professor in the Department of Biostatistics, School of Public Health at Shandong University.

Adjunct Professor, Machine Learning

American Alliance for International Education

2020-7 - 2021-6 · 1 yr

Instruct graduate-level lectures on Intro to Artificial Intelligence, Probability, Statistics, and Machine Learning in a bilingual manner (English and Mandarin).

Postdoctoral Researcher

Washington University in St. Louis

2020-6 - 2021-6 · 1 yr 1 mo

St Louis, Missouri, United States

Data Engineer

Abiosciences

2020-8 - 2020-10 · 3 mos

scRNA sequencing data processing and annotation.

Data Science Fellow

Insight Data Science

2020-1 - 2020-6 · 6 mos

San Francisco Bay Area

• Designed and optimized a recommender system to improve diabetes risk testing using data from the National Health and Nutrition Examination Survey. • Performed extensive feature engineering and compared multiple machine learning models to optimize the prediction of diabetes risk with an AUC score of 0.91. • Launched a user-friendly web application with Flask hosted on Amazon Web Services (AWS) to automate the diabetes risk testing and prevention.

Graduate Research Assistant

The Ohio State University

2016-5 - 2019-12 · 3 yrs 8 mos

Columbus, Ohio Area

• Built the first web application embedded with a weighted matching algorithm that automates the lipids identification in cancer biomarker discovery and metabolomics. • Curated the largest relational lipid chemical shift database in SQL by scraping over 15k web pages with a variety of APIs. • Designed a novel cancer metabolite identification pipeline in Python that analyzes nuclear resonance spectroscopy data of multiple cohorts of biological samples (e.g, serum, urine, >50 GB).

Graduate Teaching Assistant

The Ohio State University

2014-8 - 2016-5 · 1 yr 10 mos

Columbus, Ohio Area

• Led recitation to 35 chemistry and chemical engineering majors. • Taught quantum mechanics, calculus, linear algebra and fundamentals of probability.

Volunteer

Ohio State Fair

2017-7 - 2017-7 · 1 mo

Columbus, Ohio Area

Judged elementary school student poster presentations regarding “Science Fun with Kitchen Chemistry”.

Volunteer

Horizon Science Academy Columbus High School

2016-11 - 2016-11 · 1 mo

Columbus, Ohio Area

Volunteered as a judge at Horizon Science Academy STEM Fair of high school students' STEM project.

Education

The Ohio State University

Chemistry

2014 - 2019 · 5 yrs

Conducted comprehensive research in MS/NMR hybrid approach in metabolomics research, including developing algorithms and methods in the identification of metabolites, construction of relational NMR databases of lipids, statistical analysis and modeling of complex metabolic mixtures in oral cancer.