Kenny Lam
Bioinformatics | Machine Learning | Data Science
Welcome to my website! My name is Kenny Lam, I am a Research Assistant and Master of Science student at the University of Melbourne. I am currently working on multiple computational chemistry and bioinformatics research projects. I am previously a contributor of the Google Summer of Code program at EMBL-EBI and a Data Science intern at Bega Group.
Grew up in Hong Kong, I was exposed to the many technological advancements and innovations. This sparked my interest in computer science and data science. After secondary school, I went on and studied a degree in Data Science in Canberra, Australia. In the final semester of my degree, I took a course that specifically emphasized research skills and paper writing. This course ignited a strong interest in research within me.
After Covid hits, I came to appreciate the critical role that medical research plays in protecting public health and improving our quality of life. At the same time, I was introduced to the field of Bioinformatics by my mentor and friend - Dr. Thomas Wong, who also came from computer science background and is a researcher in Bioinformatics at ANU, I was then inspired to pursue a postgraduate degree in Bioinformatics.
During my academic studies, I have acquired a solid foundation in various programming languages such as Python, SQL, and other languages such as Haskell and Python, especially with Data Science and visualization python libraries and Machine Learning libraries such as PyTorch, Scikit-learn, and Keras.
My short-term goals are to finish my master's study while also enjoying myself collaborating in different research projects, as well as working hard to develop my technical skills and soft skills by working and doing internships. For my long-term goals, I would like to sharpen and master the skills on data analytics and data science, allowing myself to apply my knowledge to different domains in life science.
I have 5+ years of experience in coding, which includes using data analysis and machine learning libraries to investigate issues, build data engineering pipeline, perform feature engineering, develop predictive models, and extract insights from data. On top of that, I also have experience in software development and database.
Programming Languages
Data Science skills, Frameworks, and other skills
Research Assistant
University of Melbourne / Bio21 Molecular Science & Biotechnology Institute · Part-time
Research Group: Gras Research Group
Research Institute: Bio21 Molecular Science & Biotechnology Institute
Department: Chemical Engineering
Jun 2023 - Present
Postgraduate Research Student
University of Melbourne (Biosig group) · Internship
Research Group: Biosig Lab (University of Melbourne & University of Queensland)
Department: Computing and Information Systems
Jul 2022 - Present
Google Summer of Code - Contributor
European Bioinformatics Institute | EMBL-EBI
Research Group: Genome Interpretation team
Associated Project: GENCODE
May 2023 - Sep 2023
Data Scientist
Bega Group · Internship
Division: Bega Bionutrients
Project: Analyse and optimize the production process of Lactoferrin
Co-supervised by Gras Research Group at Bio21 Molecular Science & Biotechnology Institute
Feb 2023 - May 2023
Student Consultant (UoM Grand Challenges)
Practera · Internship
Nov 2022 - Dec 2022
This section only include long-term projects where I am the 1st or 2nd contributor, ranked by project size and importance
ION: Differentiating Real and Misaligned Introns with Machine Learning  View Details
Associated Research Group: Genome Interpretation team - Ensembl (EMBL-EBI)
Associated Project: GENCODE
Program: Google Summer of Code 2023
May 2023 - Sep 2023
Predicting and Optimising Small-Molecule Pharmacokinetic Properties using Machine Learning
Associated Research Group: Biosig Lab (University of Melbourne & University of Queensland)
Jul 2022 - Present
Analyse and Optimise the Production Process of Lactoferrin
Associated Company/Division: Bega Group - Bega Bionutrients
Feb 2023 - May 2023
Using Graph-Based Signatures to Identify Neuroprotective Compounds
Associated Research Group: Biosig Lab (University of Melbourne & University of Queensland)
Feb 2023 - Present
Alcoholism Classification using Cascade Correlation Neural Network with Electroencephalography Data View Details
Associated Organisation: School of Computer Science - Australian National Univesrity
Mar 2021 - Jul 2021
Thanks for visiting my webpage, if you have any questions or would like to know more about me, please complete the form below and I will contact you. Alternatively you can connect/message me on LinkedIn too!