MBCT Graduate Alumni

I received my B.Sc. in Electrical Engineering from San Martín de Porres University (2012) in Chiclayo, Peru and received my Masters degree in Digital Signal and Image Processing from Pontificia Universidad Católica del Perú (2017). Between 2015 and 2018, I worked on ultrasound imaging, optimization and signal processing. From 2017 to 2018, I was a research assistant at the Digital Signal Processing laboratory in the same institution, where I was involved with topics of image processing, optimization and inverse problems.

I am interested in the question of how to optimally leverage a priori knowledge about atomic systems for machine learning on molecules. Example tasks include the design of proteins and RNA. We are developing a framework for the data-driven design of enhanced fluorescent voltage indicators.

I am a PhD student in the department of Psychology working with Kalanit Grill-Spector. I am interested in the relationship between structure and function in human visual cortex, and in particular, the anatomical structures that scaffold development. Before coming to Stanford, I completed my BA in Cognitive Science at Pomona College and was the lab manager of the Brain Development & Education Lab at the University of Washington.

I am a PhD student studying computational and cognitive neuroscience, advised by Justin Gardner. My primary interest lies in combining computational tools and psychological experiments to understand the neural mechanisms behind complex behaviors in humans. Specifically, my studies focus on how our prior understanding about visual entities affects our perception of them and, to this end, design psychophysical experiments that probe stages of the underlying neural computations. Before coming to Stanford, I studied Mathematics and Cognitive Science at Yale.

I am a PhD student in Psychology at Stanford under the advisory of Professor James L. McClelland. I am interested in systematic reasoning, or the ability to learn and apply rules and variables. My research consists of both empirical studies and computational modeling, gathering data from human experiments to understand attributes of reasoning processes and then aiming to produce similar results through neural network models. I primarily use logic puzzles (e.g. Sudoku) and instruction sets (e.g. recipes, programs) to test for systematic behaviors.

I am a PhD student in the cognitive area of the Psychology Department working with Jay McClelland.  I am interested in understanding the reasoning process in goal-directed problems, as well as the role of memory representations in enabling flexible model-based planning. Prior to Stanford, I received my BS in Computer Science and Psychology from Trinity College (2017), and worked on decoding episodic memory from neural signals in the Computational Memory Lab at the University of Pennsylvania. 

I am a PhD student in the department of psychology at Stanford University, advised by Kalanit Grill-Spector. Using fMRI and model-based machine learning methods, I aim to explore how sensory features of space and time are represented in the visual cortex. Before coming to Stanford, I received my BA at McGill University and MSc at Sungkyunkwan University.

Leili is a PhD student at Stanford University Psychology department advised by Brian Knutson.

I'm a neurosciences PhD candidate at Stanford, where I'm co-advised by Shaul Druckmann (neurobiology) and Krishna Shenoy (electrical engineering). Previously, I studied human PFC using ECoG recordings in Bob Knight's group at UC Berkeley, from which I graduated in 2018 with degrees in Mathematics and Molecular Biology.