Personal information

Machine Learning, Biomedical AI
United States

Activities

Employment (4)

AstraZeneca (US): Boston, Massachusetts, US

2022-06 to present | Associate Director (Oncology Data Science)
Employment
Source: Self-asserted source
Chao Fang

AstraZeneca (US): Boston, Massachusetts, US

2020-04 to 2024-06 | Sr. Data Scientist (Oncology Data Science)
Employment
Source: Self-asserted source
Chao Fang

AstraZeneca (US): Boston, Massachusetts, US

2018-08 to 2020-04 | Postdoc (Translational Medicine)
Employment
Source: Self-asserted source
Chao Fang

Monsanto (United States): Creve Coeur, Missouri, US

2016-06 to 2016-12 | Data Scientist internship
Employment
Source: Self-asserted source
Chao Fang

Education and qualifications (4)

Johns Hopkins University: Baltimore, US

2022 to present | MPH (School of Public Health)
Education
Source: Self-asserted source
Chao Fang

University of Missouri: Columbia, US

2014 to 2018 | PhD (Computer Science)
Education
Source: Self-asserted source
Chao Fang

University of Missouri: Columbia, US

2012 to 2013 | MS (Computer Science)
Education
Source: Self-asserted source
Chao Fang

University of Missouri: Columbia, US

2010 to 2011 | BS (Computer Science)
Education
Source: Self-asserted source
Chao Fang

Works (10)

Integrating knowledge graphs into machine learning models for survival prediction and biomarker discovery in patients with non–small-cell lung cancer

Journal of Translational Medicine
2024-08-05 | Journal article
Contributors: Chao Fang; Gustavo Alonso Arango Argoty; Ioannis Kagiampakis; Mohammad Hassan Khalid; Etai Jacob; Krishna C Bulusu; Natasha Markuzon
Source: Self-asserted source
Chao Fang

Abstract PO5-12-07: Analyzing Patient Experiences with Adjuvant Hormone Therapy for Early Breast Cancer Treatment via NLP/ML on Social Media: Symptoms and Their Mitigation

Cancer Research
2024-05-02 | Conference poster
Part of ISSN: 1538-7445
Contributors: Sameet Sreenivasan; Chao Fang; Emuella Flood; Natasha Markuzon; Jasmine Sze
Source: Self-asserted source
Chao Fang

Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer

Value in Health
2022-12 | Journal article
Part of ISSN: 1098-3015
Contributors: Chao Fang; Natasha Markuzon; Nikunj Patel; Juan-David Rueda
Source: Self-asserted source
Chao Fang

DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy

npj Digital Medicine
2021-02-02 | Journal article
Part of ISSN: 2398-6352
Contributors: Chao Fang; Dong Xu; Jing Su; Jonathan Dry; Bolan Linghu
Source: Self-asserted source
Chao Fang

MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns

Bioinformatics
2020-02-15 | Journal article
Part of ISSN: 1367-4803
Part of ISSN: 1367-4811
Contributors: Chao Fang; Zhaoyu Li; Dong Xu; Yi Shang
Source: Self-asserted source
Chao Fang

A deep dense inception network for protein beta‐turn prediction

Proteins: Structure, Function, and Bioinformatics
2020-01 | Journal article
Part of ISSN: 0887-3585
Part of ISSN: 1097-0134
Contributors: Chao Fang; Yi Shang; Dong Xu
Source: Self-asserted source
Chao Fang

Prediction of Protein Backbone Torsion Angles Using Deep Residual Inception Neural Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics
2019-05-01 | Journal article
Part of ISSN: 1545-5963
Part of ISSN: 1557-9964
Part of ISSN: 2374-0043
Contributors: Given Names Deactivated Family Name Deactivated; Yi Shang; Dong Xu
Source: Self-asserted source
Chao Fang

Improving Protein Gamma-Turn Prediction Using Inception Capsule Networks

Scientific Reports
2018-10-24 | Journal article
Part of ISSN: 2045-2322
Contributors: Chao Fang; Yi Shang; Dong Xu
Source: Self-asserted source
Chao Fang

MUFOLD‐SS: New deep inception‐inside‐inception networks for protein secondary structure prediction

Proteins: Structure, Function, and Bioinformatics
2018-05 | Journal article
Part of ISSN: 0887-3585
Part of ISSN: 1097-0134
Contributors: Chao Fang; Yi Shang; Dong Xu
Source: Self-asserted source
Chao Fang

A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction

2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)
2017-11 | Conference paper
Contributors: Chao Fang; Yi Shang; Dong Xu
Source: Self-asserted source
Chao Fang