Diversity and Outreach
Riley High School - Fall 2021/Spring 2022
Diffusion and osmosis
Three visits were part of an activity focused on diffusion and osmosis. During the first visit we divided the students in goups and performed together experiments to understand randomness in diffusion, how temperature affects diffusion and an experiment (speaker+table tennis balls) showing the interaction between water and ink molecules. The second visit focused on quantification, where the students needed to understand the bell-shape frequency histogram resulting from multiple dice rolls and characterize the linear mean square displacement in Brownian motion. During the third visit a simple Python code to simulate Brownian motion was divided in sections and discussed with students.
Introduction to Python Programming
Two visits focused on increasing the familiarity of the students with programming in Python.
Field trip at the University of Notre Dame
Finally, the students visited the Notre Dame campus on May 17th, 2022 and attended an info session organized by ND Admissions plus three presentations from the Harper Cancer Research Institute, ND Energy and the South Bend Code School.
Northern Indiana Regional Science and Engineering Fair
Computer Science, Math & Physics Category
Stepan Center, University of Notre Dame, Saturday March 4th, 2017.
Northern Indiana Regional Science and Engineering Fair
Chemistry & Materials Sciences Category
Stepan Center, University of Notre Dame, Saturday March 3rd, 2018.
This event is open to schools in the counties of Elkhart, Fulton, Marshall, and St. Joseph and students in grades 3-12.
Johns Hopkins University - Center for Talented Youth
Family Academic Programs, Science and Technology series
September 21, 2013 - University of California, San Diego.
Johns Hopkins University - Center for Talented Youth
Family Academic Programs, Science and Technology series
October 18, 2014 - University of California, San Diego.
I participated to these two events by creating and organizing a workshop for middle and high school students focusing on statistical learning for disease diagnosis. The purpose is to demonstrate a simple example of machine learning through application of the Bayes rule in the context of clinical decision making. Interested? Let's play Trilemma!
Diffusion and osmosis
Three visits were part of an activity focused on diffusion and osmosis. During the first visit we divided the students in goups and performed together experiments to understand randomness in diffusion, how temperature affects diffusion and an experiment (speaker+table tennis balls) showing the interaction between water and ink molecules. The second visit focused on quantification, where the students needed to understand the bell-shape frequency histogram resulting from multiple dice rolls and characterize the linear mean square displacement in Brownian motion. During the third visit a simple Python code to simulate Brownian motion was divided in sections and discussed with students.
Introduction to Python Programming
Two visits focused on increasing the familiarity of the students with programming in Python.
Field trip at the University of Notre Dame
Finally, the students visited the Notre Dame campus on May 17th, 2022 and attended an info session organized by ND Admissions plus three presentations from the Harper Cancer Research Institute, ND Energy and the South Bend Code School.
Northern Indiana Regional Science and Engineering Fair
Computer Science, Math & Physics Category
Stepan Center, University of Notre Dame, Saturday March 4th, 2017.
Northern Indiana Regional Science and Engineering Fair
Chemistry & Materials Sciences Category
Stepan Center, University of Notre Dame, Saturday March 3rd, 2018.
This event is open to schools in the counties of Elkhart, Fulton, Marshall, and St. Joseph and students in grades 3-12.
Johns Hopkins University - Center for Talented Youth
Family Academic Programs, Science and Technology series
September 21, 2013 - University of California, San Diego.
Johns Hopkins University - Center for Talented Youth
Family Academic Programs, Science and Technology series
October 18, 2014 - University of California, San Diego.
I participated to these two events by creating and organizing a workshop for middle and high school students focusing on statistical learning for disease diagnosis. The purpose is to demonstrate a simple example of machine learning through application of the Bayes rule in the context of clinical decision making. Interested? Let's play Trilemma!
Medical Image Processing Session
Statistics of Disease Diagnosis Session
Statistics of Disease Diagnosis Session
Molecular diffusion experiment
Quantifying randomness in Brownian motion
Analyzing code
Walking around campus
Presentations in Jordan
Harper Institute
ND Energy
South Bend Code School
Final group photo