Author

Max Chao

Stony Brook University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ramana V. DavuluriiD· 2 shared A.S. PaliD· 1 shared Anushka OjhaiD· 1 shared Christopher L. MendiasiD· 1 shared David J Oliver· 1 shared Gregory C. GhahramaniiD· 1 shared Han Liu· 1 shared Jack Vaska· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Ramana V. DavuluriORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Development of gemcitabine-modified miR-15a as a novel, multimodal treatment strategy to overcome 5-FU and oxaliplatin resistance in colorectal cancer

Anushka Ojha, A.S. Pal, Max Chao, Ramana V. Davuluri, Jingfang Ju

This paper develops Gem-miR-15a, a gemcitabine-modified microRNA, which overcomes 5-FU and oxaliplatin resistance in colorectal cancer with high potency and low toxicity.

Journal of Experimental & Clinical Cancer Research · Oct 27, 2026Peer-reviewedCancer Biology

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism

Pratik Dutta, Jack Vaska, Pallavi Surana, Rekha Sathian, Max Chao, Zhihan Zhou, Han Liu, Ramana V. Davuluri

HViLM is a foundation model for viral genomics that predicts pathogenicity, transmissibility, and host tropism across multiple viral families with high accuracy.

bioRxiv · Mar 20, 2026 · PreprintBioinformatics

Widespread diversity in the transcriptomes of functionally divergent limb tendons

Nathaniel P. Disser, Gregory C. Ghahramani, Jacob B Swanson, Susumu Wada, Max Chao, Scott Alan Rodeo, David J Oliver, Christopher L. Mendias

This study creates a transcriptomic atlas of limb tendons in mice and rats, revealing significant transcriptome diversity within and across species.

The Journal of Physiology · Feb 21, 2020Peer-reviewedSystems Biology