computational biology

Researchers’ simulations suggest that small population sizes and inbreeding made Neanderthal populations vulnerable to chance fluctuations in population size.

Neural networks generate abstract images designed to activate particular cells, lending insight into their function.

Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

The Carnegie Mellon computational biologist thinks machine learning algorithms can direct high-throughput experiments to solve the field’s unanswered questions.

A brief history of AI, machine learning, artificial neural networks, and deep learning.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data.

Neuromorphic technology is fueling fast, large-scale simulations, supporting researchers’ endeavors to build models of the human brain.

A deep learning program can identify cells with higher metastatic potential based on the way they look and move.

Researchers have created a 3D-printed artificial neural network that uses light photons to rapidly process information.

Computational biologists are optimistic that the purchase of the world’s largest hub for open-source computer code will not affect the way they use GitHub for science.

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.

Nineteen researchers have stepped down after the journal decided not to retract a paper that they say plagiarized the work of a Johns Hopkins biomedical scientist.

Computational tools for mapping out synthetic nucleic acids

Autonomous molecules that collect, carry, and sort different genetic packages usher in a new era for nucleic-acid robotics. 

A computer model estimates that gene-drive technology could wipe out populations of an invasive mammal on islands. 

Researchers could reconstruct the faces a monkey saw from the patterns of neuronal activity in a certain area of the brain.

Transcript abundance isn’t a reliable indicator of protein quantity, contrary to studies’ suggestions. 

Teams of modelers compete to develop algorithms for estimating how people will perceive a particular odor from its molecular characteristics.

Analyzing single cell sequences to decipher the evolution of a tumor

Assistant Professor, Bates College. Age: 37