Yang Yang, a Ph.D. student in Jian Ma‘s lab, was recognized during Rising Stars 2019, an intensive workshop for women graduate students who are pursuing careers in computer science, computer engineering, and electrical engineering. The participants in this year’s workshop were chosen from a pool of approximately 300 applicants.
Machine Learning Enhances Study of 3D Genome Structure in Cell Nucleus Computational methods used to fill in missing pixels in low-quality images or video also can help scientists provide missing information for how DNA is organized in the cell, computational biologists at Carnegie Mellon University have shown. Filling in this missing information will make it […]
Orientation week is off to a great start and we’re so excited to have so many wonderful students coming into our programs this year!
Laura Tung, a second-year Computational Biology Ph.D. student in Prof. Carl Kingsford’s group, has been chosen to receive an National Science Foundation (NSF) Graduate Research Fellowship. Laura’s research direction is computational genomics with her recent research focusing on improved algorithms for transcript assembly of single-molecule long sequencing reads. The NSF Graduate Research Fellowship Program, established […]
Hosein Mohimani, assistant professor in the Computational Biology Department, and Bernhard Haeupler, assistant professor in Carnegie Mellon University’s Computer Science Department, are among 126 recipients of 2019 Sloan Research Fellowships, which honor early career scholars whose achievements put them among the very best scientific minds working today. The new Sloan fellows also include Florian Frick, assistant professor of mathematical […]
CMU’s scQuery Web Server Uses New Method To Determine Cell Types, Identify Key Genes Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single-cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased […]
The Joint CMU-University of Pittsburgh Ph.D. program in Computational Biology (CPCB) sees its biggest incoming class yet. A total of 21 students have joined the program, beginning with their orientation last week. The group participated in many team building activities, research talks, and posters sessions with current CPCB students during their retreat at Hidden Valley […]
Two first year students in our Computational Biology Ph.D. program and one recent graduate of the M.S. in Computational Biology program have had papers accepted for ISMB 2018, a top conference in Computational Biology and Bioinformatics. Xiangrui Zeng’s paper, titled “An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification, proposes […]
Yang Yang, a third-year PhD student in the Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology (CPCB), joined the Computational Biology Department in January 2016 and has been working on computational genomics. Yang received her B.E. degree in Automation and M.S. degree in Control Science and Engineering both from Tsinghua University in China. […]
Xiangrui Zeng, a first year PhD student in the Joint Carnegie Mellon-University of Pittsburgh Ph.D. program (CPCB), has been conducting a research project under the guidance of Dr. Min Xu. His first-authored paper detailing the outcome of this project title “A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation” […]