Marco Ayala
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Marco Ayala Email & Phone Number

AI Applied Scientist at Microsoft
Location: Providence, Rhode Island, United States 11 work roles 2 schools
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Current company
Role
AI Applied Scientist
Location
Providence, Rhode Island, United States

Who is Marco Ayala? Overview

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Marco Ayala is listed as AI Applied Scientist at Microsoft, based in Providence, Rhode Island, United States. AeroLeads shows a matched LinkedIn profile for Marco Ayala.

Marco Ayala previously worked as Machine Learning Researcher at Massachusetts Institute Of Technology and Undergraduate Teaching Assistant at Brown University Department Of Computer Science. Marco Ayala holds Master Of Science - Ms, Ai & Machine Learning from Brown University.

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Microsoft

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Profile bio

About Marco Ayala

Machine Learning Engineer with hands-on experience in the development and deployment of advanced algorithms. Currently honing my skills as a Machine Learning Engineer Intern, I am passionate about integrating creativity with technology to drive innovative problem-solving. Eager to collaborate on transformative projects and deliver novel solutions in the AI world.

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Microsoft
Microsoft
AI Applied Scientist
Providence, RI, US
AeroLeads page
11 roles

Marco Ayala work experience

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

Ai Applied Scientist

Providence, Ri, Us

Machine Learning Researcher

Current

Boston, Massachusetts, United States

• Part of a 5 person team conducting research analyzing and comparing the structure and evolution of research networks in Alzheimer’s Disease (AD) and HIV, focusing on collaboration patterns, network diversity, key influencers, and the role of funding and advocacy in driving research productivity.• Working under Dr. Leo Anthony Celi to apply Temporal Graph Neural Networks (TGNNs) and clustering algorithms (k-means, DBSCAN) to classify nodes, predict collaborations, and assess the diversity and clustering of research groups, providing insights into the dynamics of research networks.• Utilized Self Supervised training pipeline to predict global embedding state of nodes as well as embedding state of individual nodes

Sep 2024 - Present

Undergraduate Teaching Assistant

Current

Providence, Rhode Island, United States

Teaching Assistant for the Machine Learning course (CSCI 1420) where I helped improve lecture content, redesigned homework assignments, and held weekly office hours to help students understand course material or debug code.

Jan 2024 - Present

Neuro-Ai Researcher @ Serre Lab

Current

Providence, Rhode Island, United States

• Awarded Undergraduate Teaching and Research Award (UTRA) to implement a novel framework I created that decodes EEG and FMRI brain signals into high fidelity images, essentially reconstructing thoughts into images • Leveraging various learning techniques, a 3-Dimensional CNN, and a Transformer model to preprocess brain signals enabling Latent Stable Diffusion to create the images all while accounting for hemodynamics

Aug 2023 - Present

President

Current

Providence, Rhode Island, United States

• Founded and manages Brown University’s first AI/ Machine Learning community of over 200 students; Leads board of 15 students which plans and executes bi-weekly workshops assisting students to build hands-on ML/ deep learning projects from start to finish• Latest project was Latent Stable Diffusion for Image Generation, utilizing a U-NET, and Variational AutoEncoder

Aug 2022 - Present

President

Current

Providence, Rhode Island, United States

• Executive board member at Brown University student organization dedicated to facilitating music-based service on campus. Organize and plays in benefit shows and on-campus busking drives.

May 2021 - Present

Machine Learning Intern

New York, United States

• Designed and implemented the input processing layer of an AI chatbot that specializes in non-grammatical sentence segmentation. This enabled the separation and classification of distinct thoughts within user text inputs. • Using a custom-designed decision tree algorithm that leverages Word2Vec embeddings, spaCy's NLP capabilities and an SVM classifier, I achieved an optimization that made the segmentation and classification runtime 27 times faster.• The segmentation function enables the AI chatbot to discern user intent accurately, entirely independent of external APIs or off-site processing.• Additionally, I developed a sentiment analysis process to detect and analyze sudden drops in customer satisfaction through the tonality of their messages

Jun 2023 - May 2024

Machine Learning & Product Management Intern

New York, United States

• Spearheaded an anomaly detection project that implements time series signal decomposition through the use of machine learning modeling techniques. • Layed the foundational code for the anomaly detection feature of B2B business intelligence software, and developed an infrastructure that systematically evaluates different anomaly detection regression techniques. • Maintained version code control through git, and participated & contributed to team product management meetings. • Gave a 40 minutes presentation to the backend and business team, explaining the conceptual background, code, and use cases of my work.

Jun 2022 - Sep 2022

International Student Mentor

Providence

• Managed orientation of approximately 300 students and coordinated the arrival of 20 incoming first-year international students arriving at Brown. Guided them through COVID guidelines and travel logistics prior to arrival• Plans and hosts monthly orientation events. Advises 20 international students

Jun 2021 - May 2022

Tutor

Providence County, Rhode Island, United States

- Planned and delivered one-on-one tutoring sessions for English, Math, and Science as part of a program that provides recently-resettled refugee youth with mentorship and academic tutoring- Tutored 17-year-old Colombian tutee in Providence 2 times a week

Sep 2021 - Feb 2022

Founder & Product Manager

Philippines

• Conceptualized and coded prototypes for the UX/UI of an interactive mapping system that implements Realm.io database and Google Maps functionality. • Oversaw a team of 2 programmers and assisted in coding• Provided local government units with an interactive heat map to assess natural hazards & improve disaster resilience planning; integrated automated demographic analysis system to highlight vulnerable populations during crises• Piloted software in Barangay Muntinlupa, and pitched to local governments and the United Nations Office for the Coordination of Humanitarian Affairs.

Aug 2018 - Feb 2020
2 education records

Marco Ayala education

FAQ

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What company does Marco Ayala work for?

Marco Ayala works for Microsoft.

What is Marco Ayala's role at Microsoft?

Marco Ayala is listed as AI Applied Scientist at Microsoft.

Where is Marco Ayala based?

Marco Ayala is based in Providence, Rhode Island, United States while working with Microsoft.

What companies has Marco Ayala worked for?

Marco Ayala has worked for Microsoft, Massachusetts Institute Of Technology, Brown University Department Of Computer Science, Brown University, and Brown-Machine Intelligence Community (B-Mic).

How can I contact Marco Ayala?

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What schools did Marco Ayala attend?

Marco Ayala holds Master Of Science - Ms, Ai & Machine Learning from Brown University.

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