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Alexander Ruch Email & Phone Number

Head of Community and Graph Machine Learning at Lore | Contagious Health
Location: Dallas-Fort Worth Metroplex, United States 15 work roles 4 schools
1 work email found @spotify.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Head of Community and Graph Machine Learning
Location
Dallas-Fort Worth Metroplex, United States
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Alexander Ruch is listed as Head of Community and Graph Machine Learning at Lore | Contagious Health, a with 59 employees, based in Dallas-Fort Worth Metroplex, United States. AeroLeads shows a work email signal at spotify.com and a matched LinkedIn profile for Alexander Ruch.

Alexander Ruch previously worked as Head of Community / Graph Machine Learning at Lore | Contagious Health and AI/ML Advisor & Investor at Sevenn. Alexander Ruch holds Doctor Of Philosophy (Phd), Sociology And Information Science from Cornell University.

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*@spotify.com
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About Alexander Ruch

Head of Graph Machine Learning at Lore Health, creating the world's largest health idea network to promote community members' health and wellbeing by treating chronic diseases' underlying causes. AI/ML Advisor & Investor @ Sevenn – helping users spend more time with those who matter and doing the things they love. Previously Associate Director and Head of Graph ML at S&P Global developing, productizing, scaling innovative deep learning models/MLOps for complex graph, language, time series data. Past Lead Senior MLE at Spotify and ML Research Engineer at Graphika. PhD Sage Fellow at Cornell University. Studied computational social science, machine learning, natural language processing, network science, experimental methods, and culture and cognition. Published in Science Advances, Journal of Physics: Complexity, SBP-BRiMS, etc. Dissertation integrated ML for networks and text to develop more powerful/robust models, to test hypotheses and solve problems that are blocked with only one kind of data, and to construct more interpretable deep learning models. Committee included Drs. Michael Macy, David Mimno, Thomas Gilovich. Grant/fellowship recipient from NSF and NIH to research health, network phenomena, social identity, group interaction, judgment and decision making, polarization, market behavior (distributed analyses of databases exceeding 2.5 terabytes). Previously earned MPH/MA degrees focusing on epidemiology, social psychology, and statistical and experimental methods (online and lab/field). Please see my website (https://alexruch.weebly.com/) for up-to-date information on my work.

Listed skills include Research, Data Analysis, Teaching, Public Speaking, and 29 others.

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Lore | Contagious Health
Lore | Contagious Health
Head of Community and Graph Machine Learning
Texas, United States
Website
Employees
59
AeroLeads page
15 roles · 15 years

Alexander Ruch work experience

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Head Of Community / Graph Machine Learning

Current

Embrace the Joy of Self-DiscoveryLore makes it easy to participate in conversations in the areas that are important to you. With Lore, prompted exploration leads to new connections, communication strategies, and actions.Make Friends for Health, Not Likes or SwipesLore users share goals, struggles, and experiences in pursuit of greater health and enjoyment. Lore’s anonymous and accountable environment encourages growth and honest exchange.Find Happiness in Your Everyday ActionsOur feelings and lifestyles impact the amount of inflammation we have in our body and the likelihood that we will experience disease. Forming new habits to optimize our daily decisions is hard—even when we know what to do. Lore combines ground-breaking AI with the power of humans to allow for durable change.Health is Created and Contagious Within Our Communities * Human beings are social: we need other people to feel comfortable, supported, and safe. Even just listening closely, with regard for each other’s well-being, can provide dramatic therapeutic benefit. Conversely, loneliness and social isolation have wide-ranging destructive consequences on a person's physical and mental health. * Who you're connected to is consequential because of what flows across those connections. It's not just the obvious things like fashion, popular music, and trends. A myriad of other thoughts and behaviors are seeded and grow here, too, like what seems normal, what you believe is true and possible, and how a person might realize those aspirations. Even health itself seems to flow through our networks of strong and weak ties. * Lore gives people the tools to build health-promoting connections. It curates the networks that emerge in order to support the flow of norms, beliefs, knowledge, and agency-promoting attitudes in service of rich and joyful lives and positive health outcomes.

Jun 2023 - Present

Ai/Ml Advisor & Investor

Current

Find your social zen. Spend more time with who matters and do the things you love. We're building playful social games and useful tools for real life. No ads or influencers. ⭕️ Get together and have adventures with close friends 😌 Stay connected with family and old friends 🌱 Find surprising things in common with new friends 🙌 Scroll less, live moreStart here, no download needed: https://sevenn.co

Mar 2023 - Present

Associate Director & Head Of Graph Machine Learning

New York, Ny, Us

Engineering Solutions serves 6K+ global customers and 650K+ engineers. We connect trusted knowledge to customers’ workflows, mitigate risk, increase efficiency, and accelerate innovation, delivering unparalleled integration of content and AI technologies to surface answers from technical knowledge inside and outside organizations. We connect data siloed in different sources, enabling professionals to make better, more informed decisions faster.The Graph ML team I lead designs and distributes automated processes focused on multi-modal modeling services and infrastructure to enable our digital transformation products. Our workflows combine data from structured tabular sources as well as unstructured text, graph, and image sources. Our knowledge graphs provide a 360°-view of customer data that covers what entities and relationships/interactions exist in networks and the content that flows through those dynamically evolving connections.As the Associate Director / Head of Graph ML, I standardized and conducted interviews for MLEs, ML research engineers, MLOps engineers, and data scientists. I recruited and hired 10+ individuals for these roles and others (e.g., DevOps, Data Engineering, SWE).As the founder of an early-stage team, I hired members, mentored direct reports, educated stakeholders and team members in cross-functional business units, defined the company’s vision and strategy for graph ML and MLOps across all data science teams, and delivered content highlighted in leadership publications and media in cooperation with other leads.Our products included pipelines that generated metrics that help customers understand the quality of networked data, ML models which provided measures of similarity and propensity for connection between different entities, enhanced entity resolution and linkage from unstructured data, and workflows that assist engineers’ development of complex components and systems where new connections can have unexpected effects.

Sep 2022 - May 2023

Senior Machine Learning Engineer

Stockholm, Stockholm County, Se

Leading machine learning engineering within the music industry knowledge graph squad in Spotify's Content Intelligence Product Area. ML Guild Organizer, Graph Teams Lead, Graph Database Teams Lead, Human-in-the-Loop Guild Member, TechU Contributor, etc. Helping connect desperate data from across the company and generating insights that are otherwise hidden in non-networked data. #ItsAllConnected!Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. Have you ever had a debate at a party about who originally wrote a song versus who covered it? Tried to find a sample you loved more than the song you heard it in? Wondered who was actually in the recording booth for your favorite song (on both sides of the glass)? Wonder what Britney Spears, Nsync, Pink, Katy Perry, Taylor Swift, and The Weeknd all have in common? (The same songwriter wrote Billboard number-one singles for all of them). Who gets paid every time we sing “Happy Birthday”?Music attribution at scale is one of the great unsolved technical problems of the music industry, and we’re building powerful technology to solve it. Our goal is to solve this problem for the tens of millions of music tracks playable on Spotify, building a knowledge graph through innovative machine learning models, deep domain expertise, and close integration with human-in-the-loop processes across Spotify and the industry. Content Platform’s catalog data powers Spotify experiences from Artist pages in the app, search and recommendations, human playlist curation, Spotify for Artists, and our music industry-facing strategy.

Jul 2022 - Sep 2022

Machine Learning Engineer Ii

Stockholm, Stockholm County, Se

May 2021 - Jul 2022

Machine Learning Research Engineer

New York, Us

Graphika leverages the power of artificial intelligence to create the world’s most detailed maps of social media landscapes. We pioneer new analytical methods and tools to help our partners navigate complex online networks. I contribute to toolkit by developing innovative deep learning models for graph and language data – scaling our models to analyze millions of observations.

Jun 2019 - May 2021

Phd Student And Nsf-Funded Graduate Research Assistant

Ithaca, Ny, Us

Earned a PhD in Sociology (computational social science, network science) with a Graduate Minor in Information Science (artificial intelligence, machine learning, natural language processing). NFS-funded Graduate Research Assistant with Dr. Michael Macy. Co-administrator of the Cornell Social Dynamics Laboratory directly managing 15+ stellar Undergraduate and Graduate Research Assistants. Co-founder of the Cornell Computational Social Science Reading Group.

Jul 2016 - Apr 2021

Research Fellow

Durham, North Carolina, Us

Earned 2018-2019 Fellowship with the Duke Network Analysis Center, Duke Population Research Institute, and NICHD, which host the Social Networks and Health workshop on researching health and health behaviors using social network analysis methods such as: - Ego network analysis - Diffusion and peer influence - Communities in networks - Respondent-driven sampling - Statistical models for networks (ERGM, AMEN, SOAM) - Agent-based modeling

May 2018 - Jun 2019

Scholarship Recipient

Developed, trained, tested/validated, and deployed state-of-the-art deep learning models for machine learning, natural language processing, computer vision applications with PyTorch. Studied multi-layer perceptrons, convolutional neural networks, recurrent neural networks, generative adversarial networks, embedding models, transfer learning, attention, autoencoders, and distributed computing over CPUs and GPUs. Received direct and personal mentorship from Facebook Artificial Intelligence and Udacity.

Oct 2018 - Jan 2019

Graduate Student And Laboratory Manager

Iowa City, Iowa, Us

Graduate Laboratory Manager for the University of Iowa Center for the Study of Group Processes (2015-2016).Teaching Assistant for the following courses:- Introduction to Sociology Principles (2013)- Research Methods (2013, 2015)- Global Criminology (2014)- Sociology of Health (2014)- Law and Society (2016)

Aug 2013 - Jul 2016

Graduate Research Assistant: The Growing Food Connections Project

Buffalo, Ny, Us

Lab web page: http://foodsystemsplanning.ap.buffalo.edu/.Project web page: http://growingfoodconnections.org/.Numerous factors influence food access, food security, and the connections between farmers and those to whom they sell their produce. As part of the Growing Food Connections project, headed by Dr. Samina Raja (from the University at Buffalo), I assisted in analyzing food systems across the United States and identifying communities where such gaps can be bridged.

Jan 2012 - Jul 2013

Graduate Research Assistant

Buffalo, Ny, Us

As part of a series of studies headed by Dr. Teresa Quattrin and conducted in partnership between the University at Buffalo and Women & Children's Hospital of Buffalo, I aided in the implementation and assessment of several programs aiming to enhance and evaluate educational approaches to preventing childhood obesity within Western New York.

Oct 2011 - Dec 2012

Graduate Research Assistant

Buffalo, Ny, Us

To engage the local community and empower them to promote community health, I assisted in performing a community health assessment headed by Dr. Heather Orom (from the University at Buffalo) of a low-income community located in Buffalo. Following the health assessment, I was part of a team that disseminated the information learned from the study back to the community and engaged community members in taking further action to enact programs they desired.

Sep 2011 - Oct 2012

Mph Ambassador

Buffalo, Ny, Us

As Ambassador at the University at Buffalo, I represented the School of Public Health and Health Professions and my own department, Community Health and Health Behavior, at national conferences, local health programs, and school recruiting events. Being Ambassador also provided me with the opportunity to connect with prospective students, help answer their questions, and assist them in networking with faculty and staff who have shared interests.

2012 - 2012
4 education records

Alexander Ruch education

Doctor Of Philosophy (Phd), Sociology And Information Science

Cornell University

Master Of Arts (Ma), Sociology

University Of Iowa

Master Of Public Health, Community Health And Health Behavior

University At Buffalo

Bachelor Of Arts, Sociology

Suny Geneseo
FAQ

Frequently asked questions about Alexander Ruch

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What company does Alexander Ruch work for?

Alexander Ruch works for Lore | Contagious Health.

What is Alexander Ruch's role at Lore | Contagious Health?

Alexander Ruch is listed as Head of Community and Graph Machine Learning at Lore | Contagious Health.

What is Alexander Ruch's email address?

AeroLeads has found 1 work email signal at @spotify.com for Alexander Ruch at Lore | Contagious Health.

Where is Alexander Ruch based?

Alexander Ruch is based in Dallas-Fort Worth Metroplex, United States while working with Lore | Contagious Health.

What companies has Alexander Ruch worked for?

Alexander Ruch has worked for Lore | Contagious Health, Sevenn, S&P Global, Spotify, and Graphika Inc..

How can I contact Alexander Ruch?

You can use AeroLeads to view verified contact signals for Alexander Ruch at Lore | Contagious Health, including work email, phone, and LinkedIn data when available.

What schools did Alexander Ruch attend?

Alexander Ruch holds Doctor Of Philosophy (Phd), Sociology And Information Science from Cornell University.

What skills is Alexander Ruch known for?

Alexander Ruch is listed with skills including Research, Data Analysis, Teaching, Public Speaking, Qualitative Research, Powerpoint, Statistics, and Stata.

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