Matthew Mo work email
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Matthew Mo personal email
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.
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Applied Ml EngineerAlbert InventSan Francisco, Ca, Us -
Ml ResearchHealome One Jun 2024 - Present -
Co-FounderEzout Jun 2023 - Jun 2024Portland, Maine, UsEzOut 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. -
Ml ConsultantMultion Mar 2024 - May 2024 -
Digital Pathology Graduate ResearcherCarnegie Mellon University Jun 2022 - May 2023Pittsburgh, Pa, UsBenchmarked 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. -
Machine Learning ResearcherHealome One Pvt. Ltd. May 2022 - Dec 2022Research and develop biological clocks such as liver organ-specific aging clock via deep probabilistic neural networks
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Computer Vision EngineerBiotrillion May 2022 - Sep 2022San Francisco, California, UsSet-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 segmentation.Leveraged semi-unsupervised analysis of embeddings to enable efficient data labelling workflow. for multi-task and multi-class segmentation. -
Research AnalystRebus Biosystems May 2021 - Aug 2021Santa Clara, California, Us• 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 -
R&D Assistant (Covid Rapid-Tests)Prenetics Jul 2020 - Nov 2020Hong Kong, Hk• 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 -
Research AssociateRebus Biosystems Jun 2019 - Jun 2020Santa Clara, California, Us• 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
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Summer Internship: Research AssistantArbele May 2017 - Aug 2017Bellevue, Washington, Us• 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
Matthew Mo Skills
Matthew Mo Education Details
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Carnegie Mellon UniversityAutomation Science | Dept. Of Computational Biology (School Of Computer Science) -
Penn State UniversityBiomedical Engineering And Chemistry
Frequently Asked Questions about Matthew Mo
What company does Matthew Mo work for?
Matthew Mo works for Albert Invent
What is Matthew Mo's role at the current company?
Matthew Mo's current role is Applied ML Engineer.
What is Matthew Mo's email address?
Matthew Mo's email address is mm****@****psu.edu
What schools did Matthew Mo attend?
Matthew Mo attended Carnegie Mellon University, Penn State University.
What skills is Matthew Mo known for?
Matthew Mo has skills like Microsoft Excel, Solidworks, Matlab, Chinese, Statistical Data Analysis, Python, Ligand Docking, Statistical Presentation, Engineering Design, Laboratory Techniques, Organic Chemistry, Laboratory Skills.
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