N
Nicolas de Montigny
Research assistant
Profile
About you
Summary
Recently graduated of the Master's degree in Computer sciences with a focus on Bioinformatics and Machine Learning. Currently working as a research assistant for the WELL-E research and innovation chair of Canada at Université du Québec à Montréal.
Total work experience
1-3 yrs
I can work legally in
Canada
Availability
Immediately
Current work sector
Research(N/A)
Languages
French(First Language), English (US)(Fluent), Spanish(Basic)
Montréal, Québec, Canada
Education
Postgraduate Degree - Masters of Computer Sciences, Université du Québec à Montréal
Montréal, Québec, Canada
Postgraduate Degree of Bioinformatics, Université du Québec à Montréal
Montréal, Québec, Canada
3 or 4 yr. Undergraduate degree of Biology, Université du Québec à Trois-Rivières
Trois-Rivières, Québec, Canada
Work experience
Research assistant, Research and Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E)
2023 - Present
Bioinformatics Analyst, Research laboratory of Dre Falcone, Clinical research institute of Montreal
2022 - 2023
Teaching assistant, Université du Québec à Montréal
2020 - 2022
Workplace preferences
Ideal workplace
Co-workers
Office meetings
Flexible working hours
Speed of change
Work from home policy
Ideal job
Desired job title
Data scientist
Position type
Permanent
Travel
25%
Relocation
No
Kaggle profile
Followers
none yet
Skills
Personal data
For how many years have you been writing code and/or programming?
5 years
For how many years have you used machine learning methods?
4 years
Select the title most similar to your current role (or most recent title if retired)
Research Scientist
Select any activities that make up an important part of your role at work: (Select all that apply)
- Build and/or run the data infrastructure that my business uses for storing, analyzing, and operationalizing data
- Build prototypes to explore applying machine learning to new areas
- Experimentation and iteration to improve existing ML models
- Other
Approximately how much money have you spent on machine learning and/or cloud computing services at home or at work in the past 5 years (approximate $USD)?
$0 ($USD)
Approximately how many times have you used a TPU (tensor processing unit)?
2-5 times
What is the size of the company where you are employed?
0-49 employees
Approximately how many individuals are responsible for data science workloads at your place of business?
1-2
Technical skills
Programming languages
Python
R
SQL
Java
Javascript
Bash
PHP
ML algorithms
Linear or Logistic Regression
Decision Trees or Random Forests
Gradient Boosting Machines (xgboost, lightgbm, etc)
Bayesian Approaches
Convolutional Neural Networks
Recurrent Neural Networks
ML frameworks
Scikit-learn
TensorFlow
Keras
PyTorch
Xgboost
Huggingface
Computer Vision Methods
General purpose image/video tools (PIL, cv2, skimage, etc)
Production-Grade ML
Distributed training
Distributed inference
Industry experience
Technology and Information Services
Advancements in algorithms
Cloud computing
Data analytics
Development of new software and hardware solutions
Healthcare and Biotechnology
Patient data analysis
Predictive modeling for patient care
Cybersecurity
Anomaly detection