John Serences Hello. I'm always looking to recruit additional talented grad students, so if you're interested in our research program (or psych at UCSD in general), please contact me. Here is my CV Sameer Saproo is a second year PhD student. His research interests involve Bayesian and information theoretic modeling of cognitive phenomena, especially applied to the problem of selective attention and inference of visual stimuli, using fMRI analysis. He holds a Bachelor of Engineering from University of Mumbai (India) and a MS in Computer Science from UC Irvine. Prior to Graduate School, he worked as Development Specialist for SAP Labs India, and as a summer research intern at Design Science Inc. Apart from Cognitive Neuroscience, he has broad ranging interests in AI and Machine Learning as well as vertical search engines. It is Sameer's fervent belief that Machines are becoming smarter each day, and one day will take over and enslave Mankind. He wants to expedite the process. He also enjoys occasional hikes, swim laps and sailing when John lets him out of the dungeon in the lab, and would like to visit atleast 40 countries in his lifetime. Contact: ssaproo <at> ucsd <dot> edu Tiffany Ho is a second year Ph.D. student. She earned a B.A. in Cognitive Science at the University of California, Berkeley, where she worked in clinical and cognitive sleep research (Harvey Lab). After graduating, she interned at UCSF's Cellular and Molecular Pharmacology department (Lansman Lab) and worked at the Ernest Gallo Clinic and Research Center doing translational research in alcoholism (Bartlett Lab). Tiffany is currently interested in selective visual attention and its influences on perception and decision making in the brain. She also hopes to explore the representation of reward and the effects of behavioral goals on these processes and intends on utilizing psychophysics and neuroimaging techniques to investigate these cognitive mechanisms and their neural correlates. On a broader level, she is interested in consciousness, free will, and other issues central to the philosophy of mind and cognitive science. She especially enjoys discussing the intersections of psychology and neuroscience with other fields such as ethics, philosophy, law, and theology. Outside of the lab, Tiffany likes to spend her time catching up on celebrity gossip, reading Russian literature, eating sushi, and cheering for the Warriors (and Steve Nash). Miranda Scolari is a third year Ph.D. student. She earned a B.A. in Psychology from Willamette University in 2004 (Salem, OR), where she studied synesthesia and memory under the supervision of Dr. Mark Stewart. In 2007, she received a M.A. in Psychology from the University of Oregon (Eugene, OR), where she worked with Dr. Edward Awh on research pertaining to visual attention, crowding, and working memory. She is currently interested in studying individual differences in attentional strategies, and interactions between attention and working memory. Here is Miranda's CV.
Miranda splits her time between San Diego and San Bernardino Co., where her husband lives and attends veterinary school. When Miranda is not working (or driving), she likes to spend time with family and friends, catch up on political news, and play ping-pong (bring it, Sameer!).
Lilly Wu is an undergraduate research assistant that joined the lab in winter 2009
Nicole Panzer is an undergraduate research assistant that joined the lab in winter 2009, and has yet to provide us with a photo... |
Sameer Saproo is a second year PhD student. His research interests involve Bayesian and information theoretic modeling of cognitive phenomena, especially applied to the problem of selective attention and inference of visual stimuli, using fMRI analysis. He holds a Bachelor of Engineering from University of Mumbai (India) and a MS in Computer Science from UC Irvine. Prior to Graduate School, he worked as Development Specialist for SAP Labs India, and as a summer research intern at Design Science Inc. Apart from Cognitive Neuroscience, he has broad ranging interests in AI and Machine Learning as well as vertical search engines. 