Credentials

·  Anjali Joshi New Faculty fellowship (2022-2025)

·  Brain and Behavior research foundation (NARSAD) young investigator award (2020-2023)

·  Kavli Institute of Brain & Mind Innovative research award (2020)

·  Sanford Research fellow award (2020)

·  Interdisciplinary research fellowship in NeuroAIDS (2019-2020)

·  Winner at Pan-Indian Institute of Technology meet conducted at IIT-Madras: 2014, for best research presentation

·  Awarded full scholarship to present in systems biology meeting at international Center for Theoretical Physics, Trieste, cosponsored by UNESCO (2014)

·   Awarded full scholarship to participate in Computational Neuroscience Course at Okinawa Institute of Science and Technology, Japan (2012)

·   Best research scholar presentation award -2012 during a biotechnologists meet (Biomers)- at IIT-Madras: 2012, when competed against colleagues in my department.

·   Best student research award with travel grant at International Conference on Artificial Neural Networks – 2012, (Lausanne, 2012)

·  Obtained travel grant for research at Reinforcement learning and decision making- 2015 conference

·  Merit student award- provided with tuition fees waiver at Vellore Institute of Technology- Vellore, India (2008)

·  State rank holder in high school (2004)

      Check my scholar page, link here.

Asst. Professor, Dept of Cognitive science, IIT Kanpur       Oct’21 – Present

Anjali Joshi New Faculty Fellow               Mar’22 – Mar'25

 Direct the Translational Neuroscience and Technology (TRANSIT) lab

Asst. Project scientist at Neural Engineering and Translational Labs (NEATLabs)         Oct’20 – Sep'21

Post-Doctoral researcher at Neural Engineering and Translational Labs (NEATLabs)

Department of Psychiatry, University of California, San Diego                                         Oct’18 – Sep'20

with Profs. Jyoti Mishra and Dhakshin Ramanathan

 In my last leg of postdoctoral research, I am teaming with NEAT labs to develop efficient closed loop cognitive brain computer interfaces for cognitive assistance and therapeutics, especially that affects decision making, external and internal attention, distractibility, emotional intelligence, working memory and inhibitory control. Used several programs for analyzing data (Matlab, SPSS, R)

·    Design and program cognitive experiments for Brain mapping tool and Cognitive BCI

·  Analyze multiple behavioral and neural datasets of animal LFP in an inhibitory control task with neuromodulation 

·    Analyze human EEG from adults, adolescents, aged population of mental health spread across the scales from wellness to illness, and also study the neural correlates of environmental impact such as climate change 

·    Design sophisticated and realistic cognitive computational explanatory cum predictive algorithms and simulate models of translational importance

·     Develop efficient translational strategies using transmagnetic stimulation and neurofeedback

·  Manage a team of research associates and interns (graduate and undergraduate) for data acquisition and analysis

·  Develop and submit grant applications to institutions such as NIH and NIMH for research fellowships

Post-Doctoral researcher at Cognitive Neurophysiology laboratory 

Department of Neuroscience, University of Rochester, New York                                       Oct’17 – Sep’18

with Profs. John Foxe and Ed Freedman

 I worked towards setting up a new EEG experimental rig for studying the neurophysiology cognitive-motor interactions using mobile brain / body imaging during dual-task based decisions. I provided the asset of bringing in computational approaches to analyze the neural markers contributing to the control of cognitive and motor processing, as subject progresses from healthy to cognitively impaired; I especially focused on the Rett dataset available in the lab.

Post-Doctoral researcher at Brain and Cognitive Sciences, 

Center for Visual Science, and Center for the Origins 

of Cognition, University of Rochester, New York                                                             Oct’15 – Sep’17

with Prof. Benjamin Y. Hayden

 During my first postdoctoral research period, I developed experiments and computational modeling to decode neural responses from orbitofrontal cortices of macaques.

·       Design and program cognitive experiments that focused on understanding the shared neural correlates between economic decision making and executive stopping, using single unit electrophysiology in macaques

·       Analyze behavioral and neural datasets to unify the classically divided executive and reward functions- at the level of neurons, brain structures and also scientist groups, using advanced ensemble decoding techniques 

·       Manage a team of research associates and interns (graduate and undergraduate) for data acquisition and analysis

Pre Doctoral researcher at Indian Institute of Technology                                                 Jul’15 – Sep’15

with Profs. V. Srinivasa Chakravarthy and Balaraman Ravindran

·    Ph.D in Computational Neuroscience, Jul’15 at Indian Institute of Technology – Madras, India

o   PhD thesis with Profs. Srinivasa Chakravarthy and Balaraman Ravindran, I tackled the problem of building a unified computationally model that reconciles the diverse functional roles of dopamine and serotonin neuromodulators, in the cortico-basal ganglia circuit, for the process of decision making. 

o   Applied my model to build an integrative understanding for multiple Parkinson’s Disease symptoms- freezing of gait, increased precision grip due to medication, increased reward sensitivity and impulsivity while on-medication, and increased punishment sensitivity while off-medication.

·       Bachelor of Technology in Biotechnology, Jul’10 at Vellore Institute of Technology (VIT) – India