School of Engineering
Showing 1-10 of 61 Results
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Rika Antonova
Postdoctoral Scholar, Computer Science
BioI am a postdoctoral scholar at Stanford IPRL lab and a recipient of a CI Fellowship from NSF/CRA for research on active learning of transferable priors, kernels, and latent representations for robotics. My research interests include reinforcement learning and Bayesian optimization. I completed my PhD work on data-efficient simulation-to-reality transfer at the Robotics, Perception and Learning lab in KTH, Stockholm. Previously, I was a Masters student at the Robotics Institute at Carnegie Mellon University, developing Bayesian optimization approaches for learning control parameters for bipedal locomotion (with Akshara Rai and Chris Atkeson). During my time at CMU my MS advisor was Emma Brunskill and in her group I worked on developing reinforcement learning algorithms for education. Prior to that, I was a software engineer at Google, first in the Search Personalization group and then in the Character Recognition team (developing open-source OCR engine Tesseract).
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Federico Bianchi
Postdoctoral Scholar, Computer Science
BioFederico Bianchi is a postdoctoral researcher at Stanford University. His research, ranging from Natural Language Processing methods for textual analytics to recommender systems for e-commerce has been accepted to major NLP and AI conferences (EACL, NAACL, EMNLP, ACL, AAAI, RecSys) and journals (Cognitive Science, Applied Intelligence, Semantic Web Journals).
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Andrea Cuadra
Postdoctoral Scholar, Computer Science
BioI am a postdoc working with James Landay. My field is Human-Computer Interaction, and my work lies at the intersection of interaction design, inclusivity, and artificial intelligence. I study the needs of marginalized groups who may particularly benefit from or be harmed by the outcomes of technology design decisions that affect us all. In addition, I employ my design skills to generate and advocate for more-inclusive design alternatives.
