07/21/21 – Zeyuan, Liu and Louis‘s paper “MS2Planner: improved fragmentation spectra coverage in untargeted mass spectrometry by iterative optimized data acquisition” has been published in Bioinformatics Journal
06/17/21 – Liu Cao and Mustafa Guler‘s paper “MolDiscovery: learning mass spectrometry fragmentation of small molecules” has been published in Nature Communications
06/02/21 – Bahar Behsaz’s paper “Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery” has been published in Nature Communications
04/15/21 – Mihir Mongia’s paper “Repository scale classification and decomposition of tandem mass spectral data” has been published in Scientific Reports
02/11/21 – Arash Gholamidavoodi, Sean Chang, Hyun Gon Yoo, Anubhav Baweja, Mihir Mongia and Hosein Mohimani’s paper “ForestDSH: a universal hash design for discrete probability distributions” has been published in Data Mining and Knowledge Discovery
10/25/20 – Our lab receives Computational Tool Development for Integrative Systems Biology Data Analysis award from the U.S. Department of Energy. ($1.05M)
05/20/20 – “What Is the Role for Algorithmics and Computational Biology in Responding to the COVID-19 Pandemic?”
01/28/20 – Mihir Mongia , Ben Soudry and Arash Gholamidavoodi ’s paper, “Efficient Database Search via Tensor Distribution Sensitive Bucketing” , has been accepted for PAKDD 2020.
01/09/20 – Mohsen Ferdosi and Arash Gholamidavoodi’s paper, “Measuring Mutual Information Between All Pairs of Variables in Subquadratic Complexity” , has been accepted for AISTATS 2020. Congratulations Mohsen and Arash!
10/01/19 – Our lab receives NIH New Innovator Award ($2.2M)
08/05/19 – Liu Cao and Egor Scherbin’s paper, “Association Networks”, has been accepted at mSystems. Congratulations Liu and Egor!
07/23/19 – Liu Cao’s paper, “MetaMiner“, has been accepted at Cell-Systems. Congratulations Liu!
02/19/19 – Hosein Mohimani named Sloan Research Fellow
10/02/18 – Carnegie Mellon School of Computer Science: New Algorithm Efficiently Finds Antibiotic Candidates
02/60/18 – Pittsburgh Post Gazette: A new CMU algorithm can help thwart antibiotic resistance
01/30/18 – WESA, Pittsburgh’s NPR News Station: Finding A Better Antibiotic Just Got Easier, As Scientists Discover A New Way To Sift Through Data
01/22/18 – Carnegie Mellon School of Computer Sciences: Computational Method Speeds Hunt for New Antibiotics
11/18/16 – University of California San Diego: Big Data for Chemistry: New method helps identify antibiotics in mass spectrometry dataset