Skip to content

Latest commit

 

History

History

happy_scientist

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 

Happy Scientist Seminars

The Happy Scientist Seminars are educational seminars sponsored by Core D of the Biostats Program Project award (P01 CA196569). This series, the "Happy Scientist" seminar series, is aimed at providing educational material for members of Biostats, both students and faculty, about a variety of tools and methods that might prove useful to them. If you have any suggestions for subjects that you would like to learn about in future, please send email to Kim Siegmund at (kims@usc.edu). Our agenda will be driven by your specific interests as far as is possible.

2024 Seminar Schedule

Happy Scientist Seminars, 2024: #2
Title: Introduction to Machine Learning and PyTorch: A Guide to Getting Started with AI
Time: 12:00pm-12:50pm, Thursday February 29th 2024
Recording: https://youtu.be/85y1gE_2_P4
Location: Soto (SSB) 114
Materials can be found here

Happy Scientist Seminars, 2024: #1
Title: How I learned to stop worrying and love autodiff
Time: 12:00pm-12:50pm, Thursday February 8th 2024
Recording: https://youtu.be/HNA2wiXqJgc
Location: Soto (SSB) 114
Materials can be found here

Past Seminars

2023

Happy Scientist Seminars, 2023: #4
Title: Unlocking the Power of AI: Copilot for R
Time: 12:00pm-12:50pm, Thursday October 12th 2023
Recording: https://youtu.be/ue9A58Gwxn8
Location: Soto (SSB) 114
Materials can be found here

Happy Scientist Seminars, 2023: #3
Title: Building an R package from scratch
Time: 12:00pm-12:50pm, Thursday April 13th 2023
Location: Soto (SSB) 114
Materials can be found here

Happy Scientist Seminars, 2023: #2
Title: Annotation Query (AnnoQ): An integrated and interactive platform for large-scale genetic variant annotation
Time: 12:00pm-1:00pm, Thursday March 9th 2023
Recording: https://youtu.be/6RuDnUBja5A
Location: Soto (SSB) 114
Materials can be found here

Happy Scientist Seminars, 2023: #1
Title: Getting Started with Stan
Time: 12:00pm-12:45pm, Thursday January 26th 2023
Recording: https://youtu.be/8ReBMTIeeYU
Location: Soto (SSB) 114
Materials can be found here

2021

Happy Scientist Seminars, 2021: #2
Title: A git crash course
Time: 12:00pm-1:00pm, Thursday March 18th 2021
Recording: https://youtu.be/6gc8VyZJeNM
Location: Zoom
Materials can be found here

Happy Scientist Seminars, 2021: #1
Title: HPC with slurmR
Time: 12:00pm-1:00pm, Thursday February 18th 2021
Recording: https://youtu.be/ChPGJ7ECVGk
Location: Zoom
Materials can be found here

2020

Git & Github

Happy Scientist Seminars, 2020: #1
Title: Git & Githubs
Time: 12:00pm-1:00pm, Thursday January 23nd 2020
Location: Soto SSB-115/116 Materials can be found here

2019

RStudio and R Resources

Happy Scientist Seminars, 2019: #1
Title: RStudio and R Resources
Time: 12:30pm-1:30pm, Tuesday January 22nd 2019
Location: Soto (SSB) 114
Materials can be found here

Debugging and Profiling

Happy Scientist Seminars, 2019: #2
Title: Debugging and Profiling
Time: 12:00-1:00pm, Tuesday February 19th 2019
Location: Soto (SSB) 116
Materials can be found here

Happy Scientist Seminars, 2019: #3
Title: Building R packages
Time: 12:00pm-1:00pm, Thursday March 28th.
Location: Soto (SSB) 116
Materials can be found here

HPC with Slurm, R, and the slurmR package

Happy Scientist Seminars, 2019: #4
Title: HPC with Slurm, R, and the slurmR package
Time: 12:00pm-1:00pm, Thursday 15th 2019
Location: Soto (SSB) 117
Materials can be found here

How R Markdown helped me thrive in scientific research and advance my career development

Happy Scientist Seminars, 2019: #5
Title: How R Markdown helped me thrive in scientific research and advance my career development
Time: 12:00pm-1:00pm, Thursday 17th 2019
Location: Soto (SSB) 114
Materials can be found here

Research Pipelines

Happy Scientist Seminars, 2019: #6
Title: Research Pipelines
Time: 12:00pm-1:00pm, Thursday 24nd 2019
Location: Soto (SSB) 114
Materials can be found here

2018

#1 An introduction to high-performance computing using R

Happy Scientist Seminars, 2018: #1
Title: An introduction to high-performance computing using R
Time: 10am-11:30am, Thursday March 29th 2018
Location: Soto (SSB) 115/116
Materials can be found here

#2 Introduction to the Tidyverse, pt 1: Data Wrangling with dplyr

Happy Scientist Seminars, 2018: #2.
Title: Introduction to the Tidyverse, pt 1.
Speaker: Malcolm Barrett
Time: 11:45am-1pm, Thursday October 11th.
Location: Soto (SSB) 115/116
Materials can be found here

#3 Introduction to the Tidyverse, pt 2: Data Visualization with ggplot2

Happy Scientist Seminars, 2018: #3.
Title: Introduction to the Tidyverse, pt 2.
Speaker: Malcolm Barrett
Time: 11:45am-1pm, Thurs. October 25th.
Location: Soto (SSB) 115/116, 2001 N. Soto St., USC.
Materials can be found here

2016/2017

#5 A brief introduction to using R for high-performance computing

Happy Scientist Seminar #5:
Title: An introduction to using R for high-performance computing
Time: 12:00noon-1pm, Thursday March 23rd 2017
Where: SSB 115
Materials can be found here

#4 Yet Another "Writing R Packages" tutorial

Happy Scientist Seminar #4:
Title: Yet Another "Writing R Packages" tutorial
Time: 12pm-1pm, Thursday February 9th 2017
Where: SSB 115
Materials can be found here

#3 Building R packages

Happy Scientist Seminar #3:
Title: Building R packages
Time: 1:00-2:30pm, Thursday Dec. 8th 2016
Where: Second floor Soto common area, next to Biostats kitchen
Materials can be found here

#2 Collaborating with GitHub

Happy Scientist Seminar #2:
Title: More on collaborating with GitHub
Time: 1:00-2:30pm, Thursday Nov. 17th 2016
Where: Second floor Soto common area, next to Biostats kitchen
Materials can be found here

#1 Introduction to Collaborating with GitHub

Happy Scientist Seminar #1:
Title: Introduction to Collaborating with GitHub
Time: 1:00-2:30pm, Thursday Oct. 27th 2016
Where: Second floor Soto common area, next to Biostats kitchen
Materials can be found here

File structure

New seminars should be included in the following folder using the indicated naming structure.

seminars/
  YYYY-ID_name-of-seminar/
    README.md
    material/ # Everything goes here
    slides.html (if available)
    slides.pdf (if available)
    flyer.pdf