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Maryam Bijanzadeh

Assistant Professional Researcher - Neuroscape

Address:

UCSF – Mission Bay
Sandler Neuroscience Center
MC 0444, 675 Nelson Rising Lane
San Francisco, CA 94158

Email:

Maryam.Bijanzadeh@ucsf.edu

Biography:

Maryam Bijanzadeh is an Assistant Professional Researcher and a core member of the Neuroscape Center at UCSF. Her research focus is to examine how emotional and affective behavior is encoded in the brain and body using multidimensional neuro and physiological readouts. Prior to joining the team, she worked as a Machine Learning Scientist at iRhythm Technologies, where she developed ML models to automatically detect cardiac arrhythmias.

During her Postdoctoral training in the Chang lab at UCSF (2017-2021), she spearheaded a project focused on large neurophysiological datasets sampled from more than 100 sensors across multiple brain regions of consented patients who were implanted with intracranial electrodes for seizure monitoring and localization. Using advanced signal processing tools such as time-series analyses, dimensionality reduction, graph theoretic connectivity analyses, and employing decoding approaches, she identified brain networks that were associated with naturalistic affective behaviors, such as “smiling” in humans. In later stages of her postdoctoral training, she led a collaboration between different laboratories at UCSF in designing a battery of tasks to study neural and physiological mechanisms underlying emotional experiences in patients with epilepsy.

She completed her PhD in Neuroscience at the University of Utah. Utilizing cutting-edge technologies, such as laminar electrode arrays in non-human primates, her research focus was to understand how global and local sensory information is processed across layers of the visual cortex. In particular, she developed analytical pipelines to measure the latency of propagation of neuronal response (i.e., local field potentials and multi-unit activity) across cortical layers, providing new insight into feedforward, feedback, and intra-areal anatomical neural circuits.

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