Hello, I’m Runyu Hong, Ph.D.
Senior Scientist in Data Science
Focusing on AI and data science in biomedicine
Experience
Feb 2023 - present
Senior Scientist | Regeneron Pharmaceuticals
Led and supported the computational and statistical analysis of histological image-based omics data. Developed computational methods, predictive models, and analytical pipelines for biomarker discovery.
Aug 2022 - Feb 2023
Senior Data Scientist | Boston Consulting Group (BCG)
Engineered a recommendation system that boosted the quarterly revenue of a pharmaceutical company by 30%. Implemented a digital sales optimization strategy that cut the labor cost by 50% for a pharmaceutical company.
Aug 2017 - Jul 2022
Graduate Assistant | NYU Langone Health
Worked with Professor David Fenyö. Focused on developing and applying deep learning models in automating and improving histopathology-based diagnosis. Also focusing on mining proteo-genomics data to explore correlations with patients’ clinical outcome.
Jun 2021 - Aug 2021
Data Scientist Intern | Novartis
Built advanced machine learning and statistical models to characterize heterogeneity of KRAS-G12C mutant NSCLC patients. Developed interactive web apps to visualize potential prognostic features of NSCLC patient population.
Sep 2020 - Dec 2021
Course Instructor | NYU Grossman School of Medicine
One of the machine learning course (BMIN-GA 1004) instructors. Taught the deep learning and practical tools & materials sections.
Jan 2021 - May 2021
Teaching Assistant | NYU Grossman School of Medicine
One of the deep learning course (BMIN-GA 3007) teaching assistants.
Aug 2014 - May 2017
Chemistry Tutor | University of Wisconsin Madison
University-employed part-time tutor in Chemistry. Helped on average 30 undergraduate students per month with their course work.
Jan 2014 - May 2017
Undergraduate Researcher | University of Wisconsin Madison
Worked in Professor M Thomas Record’s lab. Focused on predicting and interpreting nucleic acids and aromatic compounds interactions based on Hofmeister Series.
May 2016 - Aug 2016
Research Intern | EMBL
Worked in Dr. Edward Lemke's lab. Focused on studying and analyzing the nuclear import of a large protein complex using super resolution microscopy imaging techniques.
Jun 2015 - Aug 2015
Research Intern | DICP CAS
Worked in research unit 1830. Practiced cancer biology and analytical chemistry techniques and live-cell imaging skills.
Education
Aug 2017 - Jun 2022
PhD, New York University
Studied in SCBM program with a specific focus in developing and applying deep learning and other artificial intelligence techniques in healthcare and biomedical industries.
Aug 2017 - Sep 2020
M.Phil., New York University
Studied in SCBM program with a specific focus in developing and applying deep learning and other artificial intelligence techniques in healthcare and biomedical industries.
Sep 2013 - May 2017
B.S. with Honors, University of Wisconsin Madison
Studied Biochemistry and Math with a specific emphasis in computational and physical chemistry.
Jan 2022 - Apr 2022
Credential of Readiness (CORe), Harvard Business School Online
Credential of Readiness (CORe); Pass with Honors.
Apr 2018 - Jun 2018
Certificate, Harvard Business School Online
Certificate in Business Analytics; Complete & Pass.
Volunteer Experience
Dec 2021 - present
Guest Editor
Guest Editor of MDPI.
Jul 2022 - Jul 2023
Non-traditional Volunteer
Non-traditional Volunteer of NYU Langone Health.
Jun 2020 - Jul 2022
Lab Safety Officer
In charge of the safety of Fenyö lab.
May 2019 - Jun 2020
Student Council Diversity & Inclusion Chair
Graduate program’s student council Diversity & Inclusion Chair.
Apr 2020 - Jun 2020
Teaching Assistant
Volunteered as a teaching assistant for the online Imaging Analysis/ImageJ course for researchers at NYU Langone Health during the COVID19 pandemic.
Sep 2015 - May 2016
Committee Member
Shared Governance Committee Member. Represented non-Wisconsin-resident students to advocate for tuition freeze.
Linking Histopathology and Proteo-genomics in Endometrial Cancer with Deep Learning
Visualizing Proteo-genomics Features on Pan-cancer Histopathology Image with Deep Learning
Predicting and Visualizing features in Renal Carcinoma Histopathological Images Using Deep Learning
Targeting Malignant Melanoma Patient Survival by ProteoGenomic Molecular Expression in Tumors
Building Deep Learning Models for Automatic Nucleus Segmentation in 3D Fluorescence Images
Identifying Neutrophil Infiltration in Histology Images During Joint Implant Surgery with Deep Learning
Predicting and Visualizing Molecular features in Glioblastoma Histopathological Images Using Deep Learning
Studying the Effects of Gentrification of Communities in New York City on Patients Counts of Some Diseases at NYU Langone Health
Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning
Predicting and Interpreting the Hofmeister Effects of Different Salts with Nucleic Bases and Aromatic Compounds Using Solubility Assay
In Vitro Disassembly and Reassembly of Modified Hepatitis B Virus Capsids, Preparing for Super Resolution Imaging
Honors and Awards
1st Place Winner in NYU Langone Health Datathon 2019
Undergraduate Academic Achievement Award
University Book Store Academic Excellence Award
Albert J. & Adelaide E. Riker Academic Merit Award
Allen Memorial Daughters of Demeter Scholarship
Biochemistry Score/Super-G Scholarship
Hilldale Undergraduate Research Fellowship
University of Wisconsin Department of Chemistry Scholarship
Daughters of Demeter Outstanding Junior Scholarship
Henry Steenbock Academic Merit Award
Special MacCracken Award
Dean's Student Travel Grant
Sackler Travel Grant
