Recent (and not-so-recent) news
(May 2024) The Gen-PINC program received a grant renewal award of $2M from Genentech Foundation to continue and expand the impact of this incredible student training program. Read an article about this renewal (and another program renewal).
(May 2024) Gian Baldonado's poster featuring our work on the TACCIT project received 2nd place at the annual CoSE Student Project Showcase.
(December 2023) We received a grant renewal award from Genentech Inc. to continue our work on developing curriculum for professionals in Biotech industry.
(November 2023) The 2023-24 cohort of AI-STAARS Scholars has been selected. 20 Computer Science Freshmen are receiving $190,414 in scholarships through the AI-STAARS program which is supported by the NSF S-STEM initiative.
(October 2023) We received a grant award from Smith-Kettlewell Eye Research Institute to continue our ongoing collaborative work with Dr. Chandna's lab on developing computaitonal solutions for problems related to Higher Visual Function Deficits and Cerebral Visual Impairment.
(June 2023) We have launched a new professional certificate program titled: Data Science and Machine Learning for Biotechnology Professionals, in collaboration with Genentech Inc. and CPaGE. The first cohort of 24 Genentech employees is currently getting reskilled through this program, and poised to graduate in May 2024!
(August 2023) 19 SF State students from bio/biochem majors have embarked on our certificate program titled Data Science and Machine Learning for Biotechnology to earn high-demand computational skills.
(August 2022) We are part of a multi-institutional grant award from NSF that is focussed on developing socially responsive computing curriculum for early CS courses.
(June 2022) Our new biotech certificate program in collaboration with Genentech was featured in SFSU News. Several graduates from this program are landing amazing summer internships (Genentech, BioMarin, UCSF).
(May 2022) SFSU News featured an article about our tool, QMOHI: Quantitative Measures of Online Health Information, and its application to a hyper-relevant topic, contraception.
(February 2022) Our tool, QMOHI: Quantitative Measures of Online Health Information, was published in JMIR Formative Research. Our collaborative work that uses QMOHI to study access to contraception information on student health center websites was published recently.
Follow our Gen-PINC students' achievements here. We are so proud of you, students!
The web-app we have developed for Higher Visual Function Question Inventory is out. This is a joint work with Chandna Lab at SKERI.