Michelle L.
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Michelle L. Email & Phone Number

Lead MLE and Software Engineer at Cove Neurosciences Inc.
Location: Toronto, Ontario, Canada 10 work roles 2 schools
1 work email found @didihirsch.org 2 phones found area 310 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email m****@didihirsch.org
Direct phone (310) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Lead MLE and Software Engineer
Location
Toronto, Ontario, Canada
Company size

Who is Michelle L.? Overview

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Quick answer

Michelle L. is listed as Lead MLE and Software Engineer at Cove Neurosciences Inc., a with 18 employees, based in Toronto, Ontario, Canada. AeroLeads shows a work email signal at didihirsch.org, phone signal with area code 310, and a matched LinkedIn profile for Michelle L..

Michelle L. previously worked as Lead Software Engineer and Data Analyst at Cove Neurosciences Inc. and Student Researcher at Computational Health And Interaction (Chai) Lab. Michelle L. holds Bachelor'S Degree, Bioinformatics And Computational Biology Specialist, Statistics Major, Computer Science Minor from University Of Toronto.

Company email context

Email format at Cove Neurosciences Inc.

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*@didihirsch.org
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AeroLeads found 1 current-domain work email signal for Michelle L.. Compare company email patterns before reaching out.

Profile bio

About Michelle L.

Michelle L. is a Lead MLE and Software Engineer at Cove Neurosciences Inc.. She possess expertise in nonprofits, policy analysis, public policy, international relations, community outreach and 23 more skills. She is proficient in French, Spanish, Chinese Cantonese and Chinese Mandarin.

Listed skills include Nonprofits, Policy Analysis, Public Policy, International Relations, and 24 others.

Current workplace

Michelle L.'s current company

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Cove Neurosciences Inc.
Cove Neurosciences Inc.
Lead MLE and Software Engineer
Toronto, ON, CA
Website
Employees
18
AeroLeads page
10 roles

Michelle L. work experience

A career timeline built from the work history available for this profile.

Student Researcher

Computational Health And Interaction (Chai) Lab

Toronto, Ontario, Canada

- Develop and implement sequence-to-sequence neural network algorithms in Python to extract and regress cardiac health information from ear canal audio data, with potential applications in cardiac health monitoring.- Design, build, and train machine learning models, including neural networks, using PyTorch and SKLearn in Python, leveraging data augmentation techniques and insights from relevant literature.- Apply evaluation metrics and create visualisations to rigorously assess model performance and optimise models.- Preprocess large, unstructured datasets to significantly enhance input data quality, improving model accuracy and reliability.- Collaborate closely with supervisor and Principal Investigator, regularly presenting findings and strategically planning next steps for the research project.

Software Developer/ Data Analyst

Toronto, Ontario, Canada

- Predict seizure onset in patients via detailed visualisations of time-series EEG data from wearable devices, providing deeper insights into disorder patterns and refining prediction accuracy using statistical and machine learning models.- Collaborate with external medtech companies on high-impact client projects, providing data-driven analysis for medical devices and contributing to product development strategies.- Lead the development, documentation, and creation of unit and integration tests for CoveConnect™, an automated data analysis and report generation pipeline, ensuring robust testing and facilitating automated deployment.- Present analytical findings to internal teams, including software developers and data scientists, as well as C-level executives and medical professionals, effectively translating complex data insights into actionable recommendations.

Teaching Assistant - Mat136

Toronto, Ontario, Canada

Facilitated classes with over 50 first-year students in introductory Calculus, leading interactive learning sessions and problem-solving workshops that significantly enhanced student comprehension and overall understanding.

Dec 2023 - Apr 2024

Teaching Assistant - Mat135

Toronto, Ontario, Canada

Facilitated classes with over 50 first-year students in introductory Calculus, leading interactive learning sessions and problem-solving workshops that significantly enhanced student comprehension and overall understanding.

Sep 2023 - Dec 2023

Let'S Solve It Undergraduate Mentorship - Student Mentee

Toronto

Worked in a group of 5 members to model Homelessness and Shelter Usage in Toronto where our team provided viable solutions to a current vital issue in Toronto - homelessness.

Oct 2023 - Dec 2023

Sidney Smith Commons Interns

University Of Toronto

Working in Student Services supporting incoming students. Managed professional emails, Discord communication and social media with 5000+ followers. Acted as the main student liaison to aid 400 incoming students, and hosted virtual & online meetings to successfully aid their transition to university

May 2023 - Aug 2023

Student Researcher

Toronto, Ontario, Canada

Working under The Kalish Lab (Principal Investigator : Dr. Brian Kalish) on a Spatial Transcriptomics Project for BCB330 (Special Project in Bioinformatics and Computational Biology).- Independently researched and reviewed emerging technologies in Spatial Transcriptomics, delivering comprehensive oral presentations to inform and guide future analyses using these advanced tools.- Collaborated on designing and implementing data analysis pipelines in R and Python to investigate the genetics of Down Syndrome, utilising spatial transcriptomic data from mouse brain samples to generate valuable insights into gene expression patterns.

Sep 2022 - Jul 2023

Research Student

Toronto, Ontario, Canada

- Supervised undergraduate lab activities, coordinating project meetings and regular check-ins with over 10 team members to ensure smooth progress and collaboration.- Applied design thinking principles and A/B testing to develop and optimise email reminder systems, aiming to improve student academic performance.- Conducted qualitative analysis of student feedback on email reminders, generating actionable insights to enhance email reminders and student experience.

May 2021 - Sep 2021
2 education records

Michelle L. education

Bachelor'S Degree, Bioinformatics And Computational Biology Specialist, Statistics Major, Computer Science Minor

Caribbean Advanced Proficiency Certificate, Natural Sciences, Mathematics

St Joseph'S Convent, San Fernando
FAQ

Frequently asked questions about Michelle L.

Quick answers generated from the profile data available on this page.

What company does Michelle L. work for?

Michelle L. works for Cove Neurosciences Inc..

What is Michelle L.'s role at Cove Neurosciences Inc.?

Michelle L. is listed as Lead MLE and Software Engineer at Cove Neurosciences Inc..

What is Michelle L.'s email address?

AeroLeads has found 1 work email signal at @didihirsch.org for Michelle L. at Cove Neurosciences Inc..

What is Michelle L.'s phone number?

AeroLeads has found 2 phone signal(s) with area code 310 for Michelle L. at Cove Neurosciences Inc..

Where is Michelle L. based?

Michelle L. is based in Toronto, Ontario, Canada while working with Cove Neurosciences Inc..

What companies has Michelle L. worked for?

Michelle L. has worked for Cove Neurosciences Inc., Computational Health And Interaction (Chai) Lab, University Of Toronto, Borealis Ai, and University Of Toronto Faculty Of Arts & Science.

How can I contact Michelle L.?

You can use AeroLeads to view verified contact signals for Michelle L. at Cove Neurosciences Inc., including work email, phone, and LinkedIn data when available.

What schools did Michelle L. attend?

Michelle L. holds Bachelor'S Degree, Bioinformatics And Computational Biology Specialist, Statistics Major, Computer Science Minor from University Of Toronto.

What skills is Michelle L. known for?

Michelle L. is listed with skills including Nonprofits, Policy Analysis, Public Policy, International Relations, Community Outreach, International Development, Policy, and Research.

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