Manisha Sinha, PhD (she/they)

Manisha Sinha in Barcelona
नमस्ते Hello Bienvenue はじめまして

I'm a neuroscientist and independent data scientist.

👩🏾‍🔬 🧠 💻 🐁 🔬 📈

Experience

  1. 2023-present Climatematch Academy 🌎 🌍 🌏
    Matching lead
  2. 2022-present neuromatch.social 🌎 🌍 🌏
    Owner/admin and moderator
  3. 2022-present Neuromatch Data Analytics 🌎 🌍 🌏
    Member of the advisory board
  4. 2022-present The Echo Network 🌎 🌍 🌏
    Research analyst
  5. 2022 Neuromatch Academy 🌎 🌍 🌏
    Executive Committee Member and Chair of Operations (COO)
  6. 2021–present 🌎 🌍 🌏
    Research associate and remote computational neuroscience consultant
  7. 2021 Neuromatch Academy – Deep Learning Course 🌎 🌍 🌏
    Discord Server Moderator and Interactive Student
  8. 2021 Neuromatch Academy – Computational Neuroscience Course 🌎 🌍 🌏
    Project Mentor, Discord Server Moderator, Video and English Captions Editor
  9. 2019–2020 University of Michigan, Ann Arbor, MI, USA 🇺🇸
    Postdoctoral Fellow, Department of Psychology
  10. 2018–2019 INSERM, Paris, France 🇫🇷
    Postdoctoral Fellow, Institut du Fer à Moulin (IFM)
  11. 2015 National Centre for Biological Sciences, Bangalore, India 🇮🇳
    Teaching Assistant, Computational Approaches to Memory and Plasticity (CAMP) International Summer School
  12. 2014 Marine Biological Laboratory, Woods Hole, MA, USA 🇺🇸
    J1 Short-term Scholar for attending 1) Neural Systems & Behavior and 2) Methods in Computational Neuroscience courses
  13. 2011–2018 Indian Institute of Science (IISc), Bangalore, India 🇮🇳
    Graduate Student, Research Associate, Postdoctoral Fellow, Molecular Biophysics Unit
  14. 2011 Intel Technology Pvt Ltd, Bangalore, India 🇮🇳
    Intern, Visual and Parallel Processing Group

Skills

Data Analysis

  1. Time-series neural ephys signal processing and analysis using Matlab, R, Igor Pro, Python
  2. Calcium imaging analysis in Matlab
  3. Behavioral video analysis using EthoVision and DeepLabCut
  4. Decoding, classification, and prediction models using machine learning and deep learning tools in Python

Computational Neuroscience

  1. Single neuron and network modeling
  2. Multiscale biophysical modeling of morphologically realistic neurons in the NEURON simulation environment
  3. Hodgkin-Huxley-type and Markovian modeling of ion channels using NMODL and NEURON
  4. Modeling of local field potentials (LFP) using line source approximation technique in NEURON, Matlab, and Python

Experimental Neuroscience

  1. Stereotactic neurosurgery (rodents)
  2. In vivo electrophysiological recordings using silicon probes in rodents under different behavioral states
  3. EEG and fiber photometry recordings from rodents
  4. Behavioral training of rodents for learning and memory tasks
  5. Drug injection protocols (i.p., s.c.)
  6. Stereotactic viral injections in the rodent brain
  7. Flourescence miscroscopy
  8. Neural tissue slicing using cryostat and microtome/vibratome

General

  1. Teaching and mentorship
  2. Figure illustration using Adobe Illustrator, Matlab, Igor Pro and Matplotlib
  3. Audio/Video/Caption Editing for YouTube using Audacity and WeVideo
  4. Project management using agile and waterfall methodologies

Select Awards and Funding

  1. EMBO travel grant for attending the DENDRITES 2018 meeting, Crete, Greece, 2018
  2. Pratiksha Trust Travel Award for attending the Society for Neuroscience Annual Meeting, Washington, D.C., USA, 2017
  3. IISc Research Associate scholarship funded by the Ministry of Human Resource Development (MHRD), Government of India, 2016–2017
  4. Shell India Computational Talent Prize – silver award at the High Performance Computing conference, Bangalore, 2015
  5. US-Canada Regional Committee (USCRC) for International Brain Research Organization (IBRO) award to attend the Society for Neuroscience Annual Meeting, 2015, Chicago, USA, and for a short visit to Prof. György Buzsáki’s laboratory at New York University, Langone Medical Center, USA, 2015
  6. Scholarship to attend the Methods in Computational Neuroscience course at the Marine Biological Laboratory, Woods Hole, MA, USA, 2014
  7. Scholarship (funded by IBRO and Society for General Physiology Awards, USA) to attend the Neural Systems & Behavior course at the Marine Biological Laboratory, Woods Hole, MA, USA, 2014
  8. Won the competitive Microsoft Research India PhD Fellowship, 2013–2016

Select Publications

Find a full list of my publications here.

  1. "Active Dendrites and LFPs: Biophysical Mechanisms and Computational Explorations", Sinha and Narayanan, 2021, Neuroscience
  2. "Unitary sources say: It is inhibition!", Sinha and Narayanan, 2020, The Journal of Physiology (London)
  3. "HCN channels enhance spike phase coherence and regulate the phase of spikes and LFPs in the theta-frequency range", Sinha and Narayanan, 2015, PNAS

Talks

  1. “Rhythmogenesis across scales: From physiology to pathology” at IFM, Paris, 2018
  2. “An emergent model of hippocampal sharp wave ripple complexes reveals sublayer-specific stratified disparities” at the EMBO Workshop on Dendritic Anatomy, Molecules and Function, DENDRITES, Crete, Greece, 2018
  3. “Regulation of local field potentials by subthreshold conductances” at the EuroSPIN meeting held at the National Centre for Biological Sciences, Bangalore, 2016
  4. Best speaker award “Subthreshold conductances regulate theta-frequency local field potentials and spike phase” at the Molecular Biophysics Unit In-House Symposium: From Molecules to Behaviour, IISc, Bangalore, 2015
  5. “Getting High and Feeling Low: Optogenetics, Reward and Depression”, at the Molecular Biophysics Unit Seminar Series, IISc, Bangalore, 2013

Contact

I'm available for consulting and remote positions/collaborations.

Contact me @ manisha.sinha8 [at] gmail.com or on Mastodon