Chieh-Ting (Jimmy) Hsu

Chieh-Ting (Jimmy) Hsu Email and Phone Number

Computational Biology | Bioinformatics Scientist | Consulting | Healthcare Start-up @ Eyam Vaccines and Immunotherapeutics
Chieh-Ting (Jimmy) Hsu's Location
Toronto, Ontario, Canada, Canada
Chieh-Ting (Jimmy) Hsu's Contact Details

Chieh-Ting (Jimmy) Hsu work email

Chieh-Ting (Jimmy) Hsu personal email

n/a
About Chieh-Ting (Jimmy) Hsu

A physicist who likes to think, solve, and tackle any problems (from science to business) logically and analytically. I designed a computational algorithm that can determine the important components in any computational model and applied to biological processes. I co-founded a healthcare startup that tried to tackle the information flow problems in the Canadian healthcare system. I have also worked on consulting projects that helped charity businesses with their business problems.With my extensive experience and expertise, I am actively seeking new opportunities in fields that demand complex problem-solving skills, such as computational biology, bioinformatics, and consulting. I am confident in my ability to contribute significantly to these areas. I am happy to connect and establish professional relationships. Please do not hesitate to contact me on LinkedIn or through email at ctjimmy.hsu@gmail.com.

Chieh-Ting (Jimmy) Hsu's Current Company Details
Eyam Vaccines and Immunotherapeutics

Eyam Vaccines And Immunotherapeutics

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Computational Biology | Bioinformatics Scientist | Consulting | Healthcare Start-up
Chieh-Ting (Jimmy) Hsu Work Experience Details
  • Eyam Vaccines And Immunotherapeutics
    Computational Biologist/Bioinformatics Scientist
    Eyam Vaccines And Immunotherapeutics Oct 2023 - Present
    • Enhanced Vaccine development speed by 80% by automating fetching and filtering data directly from the National Center for Biotechnology Information gene database.• Boosted the accuracy of virus DNA sequence analysis by 50% by constructing a robust statistical algorithm for more than 50000 sequences.• Designed a new drug discovery application for utility and flexibility by building and creating executable documents to handle a diverse range of molecules.
  • University Consulting Group (Ucg)
    Team Lead
    University Consulting Group (Ucg) Dec 2023 - Present
    • Led interviews with clients to create a precise scope of the project following the client’s statement of work• Create a skeleton and storyboard for precise value delivery to the clients, keep track of individual subsection timelines for all consultants, and ensure the quality of their work with detailed feedback
  • University Consulting Group (Ucg)
    Consultant
    University Consulting Group (Ucg) Sep 2023 - Dec 2023
    • Determined the cause for the loss of 60% of revenue for the clients by tracking 5 consecutive years of financial statements• Created short and medium-term executable blueprints for the clients to diversify their revenue streams
  • Bc Cancer
    Postdoctoral Fellow
    Bc Cancer Mar 2023 - Oct 2023
    • Increased accuracy of data analysis pipeline to 100% by building a new automating algorithm• Decreased data storage by 33% by optimizing the data frame and data structure of the analysis pipeline• Automated analysis of big flow cytometry data.• Study the techniques involved in bioinformatics and develop software tools to supportrelevant databases and applications. • Aid the development of a Machine Learning algorithm for cell population identification and the analysis of Project Discovery data to aid in developing an algorithm for population labeling.
  • Rapport
    Co-Founder
    Rapport Sep 2019 - Jan 2023
    Montreal, Quebec, Canada
    • Co-founder and Chief Operation Officer• Incorporated the startup by receiving 1st place in healthcare stream of District 3 incubator validation program with external judges and a venture capital panel• Built Minimum Viable Product using business strategies from interviewing 100+ patients and physicians • Calculated profitable business model (within 3 years) by obtaining social survey data and confirming the accuracy with local primary care physicians
  • Majesthé And Bar Majesthé
    General Manager
    Majesthé And Bar Majesthé May 2018 - Jan 2023
    Montreal, Quebec, Canada
    • General manager in charge of both bar and restaurant's day-to-day front of house operations.• Reduced inventory by 50% and labor costs by 33% by analyzing sales data and removing low-sales items• Generated peak weekly revenue of >$20K by designing and building new floor plans• Managed 15+ and trained 20+ employees by building a training program and writing an employee manual
  • Future Star Badminton
    Assistant Coach
    Future Star Badminton Dec 2014 - Aug 2018
    Montreal, Quebec, Canada
    • Ran 8 hours of weekly practice sessions by developing and executing warm-ups and drills• Trained three levels of players (beginners to high school varsity athletes) by customizing training sessions
  • Mcgill University
    Teaching Assistant
    Mcgill University Sep 2014 - Apr 2015
    Montreal, Quebec, Canada
    • Tested individual experiments before each lab session and assisted students during lab period. • Evaluated lab reports and provided written feedback to students.
  • Dalhousie University
    Nserc Undergraduate Research Award Student
    Dalhousie University May 2013 - Aug 2013
    Halifax, Nova Scotia, Canada
    • Modelled kink formation dynamics of collagen fibrils using the Gillespie algorithm with tension dependent kink formation rate to compare with experimental stress strain curve. • Derived mean field solutions for model for comparison to simulations.
  • Dalhousie University
    Honours Research Student
    Dalhousie University Sep 2012 - Apr 2013
    Halifax, Nova Scotia, Canada
    • Improved the Bayesian partition function method program to fit the stochastic decay of Green Fluorescent Protein (GFP) that outputs the distribution of brightness of GFP, distribution of lifetime of GFP, and the joint distribution for both. • Derived analytic solutions using statistical model for distribution for simple cases of stochastic decay of GFP and compare them with simulation to ensure convergence.
  • University Of Waterloo
    Nserc Create Internship In Arctic Atmospheric Science
    University Of Waterloo May 2012 - Aug 2012
    • Analyzed data taken from the atmospheric mass spectrometer from the Arctic observatory.• Compared simulated results from WRF atmospheric transport model with real measurements in the domain of north-eastern North America.
  • Dalhousie University
    First Year Lab Teaching Assistance
    Dalhousie University Sep 2011 - Dec 2011
    Halifax, Canada Area
    • One of the only two undergraduate TAs in the department.• Assisted first year students during lab sessions through responding to inquiries, fixing simple apparatus, and explaining derivations to equations.• Evaluated lab reports and provided feedback to assist students with scientific report writing.
  • Dalhousie University
    Research Associate (Co-Op)
    Dalhousie University May 2011 - Aug 2011
    • Updated ‘Monte Carlo Maximum Likelihood’ with Bayesian partition function method using C to perform curve fitting on stochastic decay of GFP.• Derived convergence criteria and tested on different likelihoods• Produced Micron size droplets with fluorescein using modified technique of Premixed Membrane Emulsification.• Image analysis of image taken from Phase Contrast microscope.
  • Dalhousie University
    Student Research Associate (Co-Op)
    Dalhousie University Jan 2011 - Apr 2011
    Halifax, Canada Area
    • Developed Monte Carlo Maximum Likelihood method and tested the algorithm with simulated probability distributions.• Used Monte Carlo Maximum Likelihood method to fit experimental data of stochastic decay of GFP.
  • Dalhousie University
    Summer Research Student
    Dalhousie University May 2010 - Aug 2010
    Halifax, Canada Area
    • Improved Cell Tracking code from Cal-Tech in MATLAB to automate the fluorescence intensity analysis of movies of bacteria.• Produced Micron size droplets with fluorescein using modified technique of Premixed Membrane Emulsification and image analysis from phase contrast microscope.

Chieh-Ting (Jimmy) Hsu Skills

C C++ Java Python Matlab Maple Latex Physics Mandarin Microsoft Office Statistics Data Analysis Monte Carlo Simulation Markov Chain Monte Carlo Phase Contrast Microscope Algorithms Scientific Writing Research Mathematical Modeling Science Programming Analysis

Chieh-Ting (Jimmy) Hsu Education Details

Frequently Asked Questions about Chieh-Ting (Jimmy) Hsu

What company does Chieh-Ting (Jimmy) Hsu work for?

Chieh-Ting (Jimmy) Hsu works for Eyam Vaccines And Immunotherapeutics

What is Chieh-Ting (Jimmy) Hsu's role at the current company?

Chieh-Ting (Jimmy) Hsu's current role is Computational Biology | Bioinformatics Scientist | Consulting | Healthcare Start-up.

What is Chieh-Ting (Jimmy) Hsu's email address?

Chieh-Ting (Jimmy) Hsu's email address is ch902614@dal.ca

What schools did Chieh-Ting (Jimmy) Hsu attend?

Chieh-Ting (Jimmy) Hsu attended Mcgill University, Mcgill University, Dalhousie University.

What are some of Chieh-Ting (Jimmy) Hsu's interests?

Chieh-Ting (Jimmy) Hsu has interest in Sudoku, Badminton, Table Tennis, Basketball.

What skills is Chieh-Ting (Jimmy) Hsu known for?

Chieh-Ting (Jimmy) Hsu has skills like C, C++, Java, Python, Matlab, Maple, Latex, Physics, Mandarin, Microsoft Office, Statistics, Data Analysis.

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