Stanford University
Showing 13,541-13,560 of 34,681 Results
-
Thomas Jaroslawski
Postdoctoral Scholar, Mechanical Engineering
BioThomas (Tomek) Jaroslawski is a postdoctoral researcher at the Center of Turbulence Research (CTR). His research interests lie in experimental fluid mechanics, applied to a wide range of applications. He works with Professor Beverley McKeon on investigating rough-walled turbulent boundary layer flows, and also with Professor Juan Santiago on studying the flow physics in various microfluidic applications.
Interested in consultations or collaborations? Let's connect: https://www.linkedin.com/in/tomek-jaroslawski-b0016714b/ -
Daniel Jarosz
Senior Associate Dean, Basic Science, Professor of Chemical and Systems Biology and of Developmental Biology
Current Research and Scholarly InterestsMy laboratory studies conformational switches in evolution, disease, and development. We focus on how molecular chaperones, proteins that help other biomolecules to fold, affect the phenotypic output of genetic variation. To do so we combine classical biochemistry and genetics with systems-level approaches. Ultimately we seek to understand how homeostatic mechanisms influence the acquisition of biological novelty and identify means of manipulating them for therapeutic and biosynthetic benefit.
-
Finn Järvi
Assistant Researcher | Cognition, Computation, Linguistics
BioFinn is a researcher interested in BCI (brain-computer interface), experimental psychology, behavioral neuroscience, computational linguistics and machine intelligence. He is the founder of the Perrin Institution (perrininstitution.org) and lives primarily in London, England.
-
Alireza Javadian Sabet
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioAlireza Javadian Sabet is a Postdoctoral Scholar at the University of Chicago Knowledge Lab and a Digital Fellow at Stanford Digital Economy Lab. He earned a PhD in Information Science from the Resilient Economy Lab at the University of Pittsburgh, where his research focused on mapping career adaptability and understanding how skills and experience translate into changing sets of opportunities over time. He also holds a master’s degree in Computer Science and Engineering from Politecnico di Milano (PoliMi) and previously served as a research fellow at the Data Science Lab and the DEpendable Evolvable Pervasive Software Engineering group. His work has been discussed in policy and business outlets, including The Economist and the American Enterprise Institute.
Alireza studies how transformative AI reshapes labor markets and innovation systems, developing models and measures from large-scale datasets that link technological capabilities to changes in skills, mobility, and knowledge production. His work combines text and trajectory data to track skill formation in education, quantify how career opportunities expand or concentrate over time, and connect these dynamics to the movement of talent across organizations and borders. He is motivated by the broader challenge of assessing and predicting technology outcomes, including how advances diffuse through tasks and institutions, and how choices around funding, training, and governance influence who benefits from technological change.
