Carson Fischl

• Fourth year computer science student at Carleton University.

• Full stack web developer, focused on MERN.

• Experienced in bioinformatics, particularly RNA-seq. 

• Bilingual in French and English.

• Canadian/American dual citizen.

Skills
Languages
Java
HTML
CSS
Python
Javascript
R
Databases
mySQL
MongoDB
SQLAlchemy
General
Microsoft Office 365
Node.js
Operating Systems
Linux
Windows
Frameworks
Flask
ReactJS
Angular 9
Ionic 4
Version Control
Git
Github
Laboratory Techniques
HPLC
PCR
qPCR
Proton NMR
Carbon-13 NMR
Education
Carleton University
Sept. 2015 to Current
BCS Computer Science 2021
BSc Biochemistry 2020
• Member of the Carleton Cyber Security Club
Employment
The Ottawa Hospital
Ottawa, Ontario
Bioinformatics Intern
May 2020 to Sept. 2020

• Worked with a multi-disciplinary team to develop a data analysis pipeline for bulk RNA-seq data for Genome Canada's Genomic Applications Partnership Program (GAPP). 

• Used a high performance CentOS cluster to schedule and test fusion callers using bash, R and SLURM.

• Assisted in presenting an RNA-seq seminar to academics.

Projects
Personal Mobile App
Nov. 2020 to Current

• Built and released a native application to display my résumé and personal projects, built with React and Ionic 4. 

• The APK and XCode folders can be found here.

• Viewable on the Google Play Store (listing can be found here).

Home Web Server
Jan. 2020

• Built and hosted a personal website on a home server using a Raspberry Pi.

• Server used Flask, Waitress (a WSGI) and Nginx to serve webpages made with Bootstrap 4.

• Currently using the RPi4 as a pi-hole (DNS sinkhole) in conjunction with an Arduino. 

WeatherMe-LTE
Jan. 2020

• Built a mobile weather station with a web application front-end using an Arduino Uno and a Particle Boron.

• Arduino Uno served as connection point for a thermometer, barometer, and hygrometer.

• Particle Boron provided LTE connectivity.

• Data was routed to a Bootstrap web application that graphed the sensory data.

Ouch! Deslouch
Feb. 2020

• Was a team member on a personal health oriented, Java-based computer vision project.

• Program uses OpenCV and a laptop's webcam to compare the ratio between a user's shoulders and head to determine if they are slouching and encourages them to correct their posture.