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Takumi Matsuzawa

Schmidt Postdoctoral Science Fellow at Cornell University


Helpful links for science

Professional development

  • Future PI Slack:
    • Resources: https://docs.google.com/document/d/1n37B_sYkFLSDywZdUgZIcfXSjItknnt6s4HfWg21k1E/edit
    • Tools for science: https://docs.google.com/document/d/1F2vgGmThaHTkgq2C2iAuOensXqx9MBULb0vq6t_zT_c/edit
  • Job search:
    • HigherEdJobs: https://www.higheredjobs.com/search/
    • Science Careers Jobs
    • Inside Higher Ed
    • the Chronicle of Higher
    • SOFT-MATTE Maling List
    • Twitter
  • Sample questions for faculty interviews:
    • https://mitcommlab.mit.edu/nse/2021/01/08/questions-to-bring-to-your-faculty-interview/
    • https://www.asbmb.org/asbmb-today/careers/072121/what-to-ask-during-your-faculty-interview

Better Scientific Posters, Oral Presentations, Abstracts

How to make an effective poster: https://docs.google.com/document/d/1n37B_sYkFLSDywZdUgZIcfXSjItknnt6s4HfWg21k1E/edit

Schamatics

  • Blender (3D modeling and animation, free)
  • Houdini (3D modeling and animation, needs a license)
  • Dragonfly (3D scalar field visualization, need a license)
  • Graphic (former iDraw)
  • Adobe Illustrator
  • Biorender (for biological schematics)

Websites

  • Github.io
  • Squarespace
  • Wix
  • Wordpress

Scheduling tools

  • Calendly- If you use Google Calendar, this is a great tool to schedule meetings

To Do Lists

  • Microsoft To Do

Note taking

  • GoodNotes: I use this for my calculations and general note taking. Easy to share. Simple to use. In-person talks go here.
  • Microsoft OneNote: I use this for my research notes and to organize my thoughts. Zoom talks go here. This is probably the most comprehensive note taking app but I use GoodNotes for historical reasons.
  • Lab notebook: I prefer to take notes on paper in lab because I handle a lot of chemicals and don’t want to ruin my iPad.

Remote desktop

  • Chrome Remote Desktop
  • Johns Hopkins Turbulence Database: https://turbulence.pha.jhu.edu/
  • SMART-Turb (rotating turbulence, helical turbulence, lagrangian trajectories in homogeneous, isotropic turbulence), University of Rome: https://smart-turb.roma2.infn.it/init/routes/#/logging/welcome
  • LaVision (PIV, PTV, LIF, etc.): https://www.lavision.de/en/
  • tflow (A Python package to analyze 2D/3D laminar/turbulent velocity fields): https://github.com/tmatsuzawa/tflow
  • Mol*: https://molstar.org/
  • Bionumbers (Databse of useful biological numbers): https://bionumbers.hms.harvard.edu/search.aspx
  • Cell biology by the numbers: https://book.bionumbers.org/
  • ProtParam (Compute various physical and chemical parameters for a given protein): https://web.expasy.org/protparam/
  • DisProt (Database of intrinsically disordered proteins): https://disprot.org/
  • Brenda: https://www.brenda-enzymes.org/index.php
  • ExplorEnz: https://www.enzyme-database.org

Techniques

  • Vision Research: https://www.phantomhighspeed.com/
  • LaVision (PIV, PTV, LIF, etc.): https://www.lavision.de/en/
  • NIS-Elements (Confocal microscopy software, Nikon): https://www.microscope.healthcare.nikon.com/products/software/nis-elements
  • Isothermal titration calorimetry (ITC): nanoITC (TA Instruments)
  • Differential scanning calorimetry (DSC)
  • Nuclear magnetic resonance (NMR): Bruker
  • Infrared spectroscopy (IR)
  • Glass coating: PEGMA, PEGDA, fluorinated oils, PEG/Silane
  • Microfluidics: PDMS, glass, etc.
  • Automated Pipetting Systems: OT-2 (Opentrons)
  • 3D printing: Connex350 (Stratasys), resin printer (Formlabs)
  • Machining (CNC, lathe, mill, etc.)