The assistant professor of computer science was awarded $172,742 as part of a larger collaborative grant to further work on algorithmic fairness and bias.
-
-
At the KINSC’s 12th annual Undergraduate Science Research Symposium, students from the Tri-Co and other area colleges showcased their summer work.
-
Born from a 2012 "Superlab" course, the collaborative project of Haverford Assistant Professor Jonathan Wilson and Iruka Okeke of the University of Ibadan in Nigeria recently received a $100,000 grant of sequencing analysis and technology.
-
For his thesis, the chemistry major worked on a computational problem of a lab in Montreal, where he had previously conducted a summer research internship.
-
This summer, 10 Haverford students received support from a new grant to conduct on- and off-campus research.
-
The biology majors collaborated on related senior thesis projects on the role of fruit fly genes in mosquito embryo development.
-
The computer science and chemistry double major continued work begun in the Dark Reactions Project, detailed in a recent cover story in Nature, for an interdisciplinary thesis.
-
The physics major studied the movement of bacteria, among other things, in the Penn Complex Fluids Lab at the University of Pennsylvania.
-
The psychology professor will use the $274,175 award to fund her work on attentional focus changes following performance mistakes.
-
The physics major will spend six months as a fellow for the National Cancer Institute.
-
The music and biology double major wrote a song cycle and conducted research on zebrafish pitch perception for his senior thesis.
-
The biology major is working as a research technician in a hematology-oncology lab at The Children’s Hospital of Philadelphia.
-
His joint computer science and economics thesis explored how the use of big data to make automated decisions may result in indirect discrimination.
-
Haverford alumni scientists have earned fellowships supporting their graduate education and research.
-
In this computer science course students learn data analysis and visualization techniques in the context of real, complex data and think about the technical and ethical issues this exposes.