Publication News
A running collection of research and publication news. New entries are added automatically from the site’s publication posts.
Individual Versus Institutional Philanthropy: Crowdfunding During Crises
May 1, 2026
Our recent paper, Individual Versus Institutional Philanthropy: Crowdfunding During Crises, studies how individual and institutional donors respond when a global crisis suddenly changes the demand for resources. Published in Production and Operations Management, the paper analyzes rich donation d...
Read more →Will machines take over? Algorithms for human–machine collaborative decision making in healthcare
April 3, 2026
Our paper, “Will machines take over? Algorithms for human–machine collaborative decision making in healthcare,” was published online in Production and Operations Management on April 3, 2026. The paper asks a central question for organizations adopting AI: when should a machine make a decision on ...
Read more →Economics of AI and Human Task Sharing for Decision Making in Screening Mammography
March 7, 2025
Our paper, “Economics of AI and human task sharing for decision making in screening mammography,” was published in Nature Communications. The study asks a practical question facing healthcare organizations as artificial intelligence becomes increasingly capable: when should an AI system replace a...
Read more →Risk-Stratified Screening: A Simulation Study of Scheduling Templates on Daily Mammography Recalls
March 3, 2025
Our paper, “Risk-Stratified Screening: A Simulation Study of Scheduling Templates on Daily Mammography Recalls,” was published in the Journal of the American College of Radiology in March 2025. The study examines how risk-stratified screening schedules can improve the organization of mammography ...
Read more →The Impact of Home-Sharing Self-Regulations on Crime Rates
June 20, 2024
The rise of the sharing economy has transformed traditional industries and brought about significant societal changes, prompting ongoing policy debates about regulation. Our recent research investigates the effects of platform self-regulations within the home-sharing market, particularly focusing...
Read more →A Quantum Leap in Binary Classification: Harnessing Fermi–Dirac Distributions
June 20, 2024
Binary classification stands as a cornerstone of machine learning, playing a critical role in a multitude of applications from medical diagnoses to spam filtering. However, a perennial challenge within this domain is obtaining a reliable probabilistic output indicating the likelihood of a classif...
Read more →A Fresh Look at Combination Therapy: Correlated Drug Action Models
June 20, 2024
Combination therapy, the principle of treating patients with multiple drugs either simultaneously or sequentially, has long been a cornerstone in the battle against complex diseases like cancer and HIV/AIDS. The rationale is straightforward: cancer cells, for instance, might develop resistance to...
Read more →Is A + B = AB when combining multiple drugs?
December 2, 2020
Drug combinations has shown great promise in many diseases including cancer, HIV etc. Despite its empirical success, drug combination therapy is far from being theoretically understood. This is because very often efforts to discover synergistic drug combos by high throughput screening are not fol...
Read more →SUMMA: A novel Unsupervised Ensemble Learning Algorithm
May 19, 2020
Recently, our paper on a new ensemble learning algorithm has been published in the Journal of Machine Learning Research (JMLR). In the paper, we propose an unsupervised ensemble learning algorithm, which we denote as SUMMA. The aim of ensemble learning is to combine multiple predictions to come u...
Read more →Paper Published in Nature Scientific Reports
September 12, 2019
Recent decade brought a lot of excitement into molecular biology. With the advancements in measurement technology, we can now measure expression of thousands of genes simultaneously. This enabled us to develop biomarker sets predictive of diseases such as asthma. Although they have important prog...
Read more →DREAM Malaria Challenge
August 23, 2019
We have recently launched a new crowdsourcing challenge: the DREAM Malaria Challenge. The goal of the Malaria DREAM Challenge is to predict artemisinin drug-resistance levels for a test set of malaria parasites by using their in vitro transcription data and a training set consisting of published ...
Read more →