AeroLeads people directory · profile
Matthew Mo Email & Phone Number
Applied ML Engineer
at
Albert Invent
1 work email found
@psu.edu
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Applied ML Engineer
Location
San Francisco Bay Area, United States, United States
Who is Matthew Mo? Overview
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Quick answer
Matthew Mo is listed as Applied ML Engineer at Albert Invent, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at psu.edu and a matched LinkedIn profile for Matthew Mo.
Matthew Mo previously worked as ML Research at Healome One and Co-Founder at Ezout. Matthew Mo holds Master Of Science - Ms, Automation Science | Dept. Of Computational Biology (School Of Computer Science) from Carnegie Mellon University.
Company email context
Email format at Albert Invent
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*@psu.edu
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AeroLeads found 1 current-domain work email signal for Matthew Mo. Compare company email patterns before reaching out.
Profile bio
About Matthew Mo
ML software engineer with experience in developing real-world applications and products largely in start-up environments. My deepest interest is in the intersection of applying multimodal deep learning and agentic LLMs in the context of science, research, or related thereof, artificial general intelligence.
Listed skills include Microsoft Excel, Solidworks, Matlab, Chinese, and 54 others.
Current workplace
Matthew Mo's current company
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11 roles
Matthew Mo work experience
A career timeline built from the work history available for this profile.
Ml Research
Current
Jun 2024 - Present
Co-Founder
EzOut provides an interface to AI for any point of sales system for a frictionless physical experience. Enabling real-time checkout data with usage recommendation and other merchant data services.
Jun 2023 - Jun 2024
Ml Consultant
Mar 2024 - May 2024
Digital Pathology Graduate Researcher
Benchmarked multi-scale feature extractors and ensemble CNN models against Visual TransformersCurated visual datasets and evaluated classification models for Visual-based Diagnostic.Researched adaptation of attention map for weakly supervised framework.
Jun 2022 - May 2023
Machine Learning Researcher
Research and develop biological clocks such as liver organ-specific aging clock via deep probabilistic neural networks
May 2022 - Dec 2022
Computer Vision Engineer
Set-up production pipeline for optimization of visual model for multi-class segmentation and multi-task regression, including hyperparameter tuning, validation & monitoring in cloud-native manner via containerized approachesLeveraged semi-unsupervised analysis of data structure to enable efficient data labelling workflow. for multi-task and multi-class.
May 2022 - Sep 2022
Research Analyst
- Modelling of fluorescence microscopy (FISH) background in experiments with deep visual models
- Set-up experimental feedback loop that assess experiment quality with mixture models for automated experiment evaluation
- Automate experimental data reports using both supervised and unsupervised ML models
May 2021 - Aug 2021
R&D Assistant (Covid Rapid-Tests)
- Facilitated and optimized in CDC approved Covid-19 semi-autonomous laboratory RT-PCR testing workflow
- Researched & validated rapid screening methods
- Validate and analyze experimental data to determine clinical accuracy
Jul 2020 - Nov 2020
Research Associate
- Designed & optimized biochemical conditions for multiplex, high-throughput fluorescence tissue microscopy experiments
- Improved experimental conditions through design iterations
- Analyzed experimental result images with image analysis tools & programs such as ImageJ, OpenCV, Scikit-Image
Jun 2019 - Jun 2020
Summer Internship: Research Assistant
- Performed cancer cell lines validation experiments with biomolecular assays
- Verified CAR antibodies efficacy versus target biomarker with biomolecular analytical techniques
- Performed statistical analysis of the clinic-pathological relevance of the expression of cancer target with large-scale data
May 2017 - Aug 2017
2 education records
Matthew Mo education
Master Of Science - Ms, Automation Science | Dept. Of Computational Biology (School Of Computer Science)
Carnegie Mellon University
Bachelor Of Science - Bs, Biomedical Engineering And Chemistry
Penn State University
FAQ
Frequently asked questions about Matthew Mo
Quick answers generated from the profile data available on this page.
What company does Matthew Mo work for?
Matthew Mo works for Albert Invent.
What is Matthew Mo's role at Albert Invent?
Matthew Mo is listed as Applied ML Engineer at Albert Invent.
What is Matthew Mo's email address?
AeroLeads has found 1 work email signal at @psu.edu for Matthew Mo at Albert Invent.
Where is Matthew Mo based?
Matthew Mo is based in San Francisco Bay Area, United States, United States while working with Albert Invent.
What companies has Matthew Mo worked for?
Matthew Mo has worked for Albert Invent, Healome One, Ezout, Multion, and Carnegie Mellon University.
How can I contact Matthew Mo?
You can use AeroLeads to view verified contact signals for Matthew Mo at Albert Invent, including work email, phone, and LinkedIn data when available.
What schools did Matthew Mo attend?
Matthew Mo holds Master Of Science - Ms, Automation Science | Dept. Of Computational Biology (School Of Computer Science) from Carnegie Mellon University.
What skills is Matthew Mo known for?
Matthew Mo is listed with skills including Microsoft Excel, Solidworks, Matlab, Chinese, Statistical Data Analysis, Python, Ligand Docking, and Statistical Presentation.
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