💂🏻 About Me

#!/usr/bin/python
# -*- coding: utf-8 -*-

class PhDStudent:

    def __init__(self):
        self.name = "Simon Provost"
        self.role = "PhD Student in Computer Science"
        self.research_interest = "Automated Machine Learning (Auto-ML) applied Medicine"
        self.language_spoken = ["fr_FR", "en_US"]
        self.preferred_stack = ["cpp", "python", "c", "javascript"]
        self.open_for_summer_phd_internship = True

    def say_about_me(self):
        print(f"Hi, I'm {self.name}, a {self.role} with a deep fascination "
              f"for problem solving, which led me to undertake a graduate "
              f"degree in Advanced Computer Science and Research.")
        print(f"My preferred tech stack includes {', '.join(self.preferred_stack)} "
              f"and I'm proficient in the following languages: "
              f"{', '.join(self.language_spoken)}.")
        print("My love for Computer Science was ignited by a profound "
              "interest in research and machine learning, earning me "
              "outstanding distinction for my work.")
        print(f"Today, my research focuses on {self.research_interest}, "
              "aiming to pioneer unexplored areas and revolutionise how "
              "Computer Science is perceived and utilised in our "
              "digitalised world.🌍")

    def say_hi(self):
        print("Thanks for dropping by, hope you find some of my work "
              "interesting and inspiring. 👌")

    def buy_me_a_coffee(self):
        print("If you appreciate my work, I would tremendously enjoy a "
              "☕️ Café au lait 🇫🇷 to keep-it up!")
        print("https://buymeacoffee.com/simonprovost")


me = PhDStudent()
me.say_about_me()
me.say_hi()
me.buy_me_a_coffee()

Research Papers (Co-Author)Provost, S. with Tighe, D., Ho, M., Puglia, F., McMahon, J., 2023. Risk Adjusted Cumulative Sum chart methodology to monitor of free flap failure rates in the QOMS national audit. British Journal of Oral and Maxillofacial Surgery VOLUME 61, ISSUE 10, E5. (Co-Author)Provost, S. with Tighe, D., Sasson, I., Ho, M., 2023. Technical appendix-Validating risk-adjustment models used in QOMS. British Journal of Oral and Maxillofacial Surgery (QOMS). (Co-Author)Provost, S. with Tighe, D., McMahon, J., Schilling, C., Ho, M., and Freitas, A., 2022. Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery. British Journal of Oral and Maxillofacial Surgery, 60(10), pp.1353-1361. (Co-Author)Provost, S. with Tighe, D., Tekeli, K., Gouk, T., Smith, J., Ho, M., Moody, A., and Walsh, S., Freitas, A., 2023. Machine learning methods applied to audit of surgical margins after curative surgery for facial (non-melanoma) skin cancer. British Journal of Oral and Maxillofacial Surgery, 61(1), pp.94-100.

Medium Blogs Medium Blogs Provost, S., Introduction to Automated Machine Learning with Auto-Sklearn ⚙️. Provost, S., Diversity and a novel Deep Learning model called Deep Forest: Applying an Important Concept to a Promising Framework. Provost, S., Classification of Sleep-Wake states with the use of a novel Deep-Learning approach. Provost, S., Michele, L., Classification of Sleep-Wake states with the use of a novel Deep-Learning approach. Provost, S., Michele, L., Computer Science Students take a step in the sleep-medicine field with Actigraphy. More can be seen here.

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