Assistant Professor
PhD Neurobiology
(Freie Universitaet Berlin)
After obtaining a PhD in Neurobiology working on honeybee olfaction, I trained under Dr. Eric Kandel at Columbia University studying the role of h-channels on hippocampal place cell firing and spatial memory in HCN1 knockout mice. Having worked on entorhinal cortex grid cells in the Moser group (NTNU), I became intrigued by the selective vulnerability of entorhinal cortex neurons in Alzheimer’s disease. My lab aims to understand the mechanism underlying neuronal and network dysfunction in neurodegenerative diseases such as AD.
Associate Research Scientist
PhD Neuroscience
(Georgetown University)
My research is focused on understanding how neuronal populations in the entorhinal cortex (EC) and hippocampus (HIPP) are affected by amyloid-beta (Aβ) and tau pathology, which are hallmark features of Alzheimer’s disease. I employ optogenetics / chemogenetics and in vivo electrophysiology in my research, and am interested in how neuronal modulation can effect Aβ accumulation and pathological tau in the entorhinal cortex – hippocampal (EC-HIPP) network.
Postdoctoral Research Scientist
PhD Neuroscience
(National University of Singapore)
I am investigating early signs of neuronal vulnerability in AD mouse models using in vivo recordings in the neurons of the entorhinal cortex (EC) and the hippocampus (HPC). I will additionally explore if (and how) pathology in the Locus Coeruleus (LC) triggers AD by assessing sleep and memory performance in relevant behaviour tasks. By recording from the LC-HPC circuit, I aim to pin down the electrophysiological biomarker(s) of neuronal dysfunctional prior to the manifestation of behavioural perturbations.
Senior Research Data Scientist
MA Statistics and Applied Mathematics
(City University of New York, Hunter College)
I develop techniques for making sense of neural data using statistics and machine learning. My research agenda is centered on topics in neural coding, and on understanding how models of AD induce dysfunction in neural coding mechanisms. I also build and maintain software for data analysis, supporting open source and private sector products.
Research Data Scientist
BS Neuroscience (Brown University)
I focus on computational tools to analyze large scale data sets from electrophysiology, optogenetic and behavioral experiments in AD mouse models. I incorporate modeling and machine learning approaches to better understand and decode neural data. I also work on data pipelines and software to support general lab analysis tools.
International Graduate Student
MS Neuroscience
I work on the role of NMDA receptors in aging and disease as part of my PhD thesis funded by Fulbright Scholarship.
Research Technician
BS Biology
I take care animal husbandry of several transgenic lines and help with behavioral experiments.
Research Consultant
PhD Neuroscience
(University College London)
I assisted with analysis of electrophysiology data from the lateral entorhinal cortex in AD, contribute to manuscript writing and academically mentor students who are interning in the lab. I am currently at IQVIA in London.
Research Technician
BS Neuroscience (Fordham University)
I worked closely with Dr. Radha Raghuraman and work on optimizing immunohistochemistry protocols and their visualizations. I am currently at Montclair University.
Senior Research Technician (2020 - 2023)
BA Biology (Skidmore College)
Currently at Regeneron. I worked closely with Dr. Rodriguez, doing in-vivo electrophysiology recordings in mouse models of AD, and performed tissue sectioning, IHC and IF staining.
PhD student (2018-2022) (co-mentored by Dr. Ismael Santa-Maria)
MA Cell, Molecular, and Biomedical Studies
(Columbia University)
I graduated in 2022. I studied the role of, and possible treatments for, miRNA dysregulation in tau pathology.
Research Consultant (2017-2021)
Medical Doctor
(Stockholm, Sweden)
I worked on the research and design of BrainWiki- a comparative neuroanatomy tool (BrainWiki.org). I am currently a Medical Doctor in Stockholm.
David Vaughan – NeuroScikit 2.0 backend consultant (2023), Dilip Rajeswari – ML & DS consultant (2021-2022), Alice Zambon- Visiting graduate student (2019), Aisha Kazeem- Research assistant (2018-2019), Valerie Savage- Research technician (2016-2017), Eden Nahmani- Research technician (2015-2016), Eliana Goldberg- Bachelor’s student (2015-2016).
Interns– Matthew Spence, Alaa Ali, Nikhil Ramavenkat, Ella Wilson, Julia Wu-Oswald, Nava Himelhoch, Soham Bafana, Ray Muroi, Sandhya Senthilkumar, Deeksha Kommireddi, Jessica George, Matthew Hou, Jessica Hui, Kaelin Main, Xavier Cambi, Talya Waxenburg, Matthew Hou, Adithi Jayaraman, Lisa Shah, Shaunice Grier, Michael Kim, Keerthi Jayaraman, Surya Krishnamurthy, Sarah Rogers, Hannah Straus, Ken Gjoni, Alejandro Capote, Masayuki Yanagiba, Yagiz Meric Altun, Arjun Gupta, Mark McNulty, Peter Salamon and Kyle Peter.