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Sofus Macskássy is listed as [I'm hiring] Co-Founder - Making your data AI ready at Alchemist Accelerator, based in Palo Alto, California, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 650, 310, 732, 415, 404, and a matched LinkedIn profile for Sofus Macskássy.
Sofus Macskássy previously worked as Co-founder and Chief Scientist at Stealth and Advisor and Mentor at Alchemist Accelerator. Sofus Macskássy holds Phd, Computer Science from Rutgers University.
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AeroLeads found 1 current-domain work email signal for Sofus Macskássy. Compare company email patterns before reaching out.
20+ years industry experience in AI, knowledge discovery and knowledge extraction at scale to power data products in a variety of domains. My particular expertise lies in R&D to combine and make sense of heterogeneous data to ensure the right data is being used in the right products, from managing data governance to ensuring the data is trustworthy and high quality at training time and inference time both.
Listed skills include Machine Learning, Data Mining, Artificial Intelligence, Information Retrieval, and 46 others.
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We are hiring:* Applied ML (lead and mid-level)* Front-end* DesignIf you are interested, DM me!If you know someone who might be interested, please send them my way or connect us.
Atlanta, Georgia, US
The MS Analytics Advisory Board is a select group of analytics executives and professionals who help ensure that the content of the degree meets the needs of business and industry, and that the curriculum gives our students the skills and knowledge they need to excel as analytics professionals.
Sunnyvale, CA, US
Lead the Knowledge Graph Foundation team to help build the best Professional Knowledge Graph in the world.This is a diverse team of AI/ML Engineers, Fullstack Engineers, Linguists, Taxonomists who every day improve our core mission of:1. Content understanding: For any piece of content, extract the entities, concepts, relations and map them to our ecosystem.
Sunnyvale, CA, US
I lead the Data Science Research and Productivity team (DSRP).Our mission is to push the boundaries on what we can do with our data, building and incubating new capabilities for insights and enabling data-driven decisions.Areas of focus:* Applied research: We conduct cutting edge research in multiple areas including responsible data use, explainable AI/ML.
Mission: Match every developer to the right job
Palo Alto, California, US
I am heading the data and analytics team at Branch Metrics.I have a world-class team that can handle big data from data ingestion and storage (data infrastructure), to efficient data modeling and data pipelines (data science and data engineering), to getting business insights to help us and our customers in their decision-making (data analytics).We manage.
I manage a team of machine learning experts to tackle some of the hard machine learning problems facing product teams. We help spread the adoption of ML, develop ML methodologies and algorithms as needed, and identify horizontal opportunities.
I lead a team within Facebook Data Science, focusing specifically on user modeling. We are hard at work making sense of all the data, making it actionable, aiding decision-making and improving the product.
Theme for SIGKDD-2014: Data Science for Social Good.Started in 1989, KDD is the oldest & largest data mining conference worldwide. We pioneered “Big Data”, “Data Science”, and “Predictive Analytics” solutions before these names existed – some of the first & most highly cited research papers on these topics were published in our conference. Other notable.
Los Angeles, CA, US
Research Professor in the Computer Science Department at the Viterbi School of Engineering, USC. Focus on applying machine learning and data mining to big data problems, particularly focused on social media, user modeling and information filtering.
Los Angeles, CA, US
I teach machine learning at USC. I intend to teach a seminar advanced topics in machine learning on a semi-regular basis.
Marina Del Rey, California, US
Conduct and lead research in social media, social networks, information analytics and personalized information management.
Marina Del Rey, California, US
Conduct and lead research in social media, social networks, information analytics and personalized information management.
Building and leading a world-class research team in information extraction, integration and analysis. Focus is to conduct core academic research and push its transition into the Fetch product line as well as to interact with customers to pursue research that is mutually beneficial. Continue pursuing research that I focused on as a principal scientist.
Direct research in machine learning, network learning, relational learning. Grow a research team and direct long-term research plans. Primary domain focus is web-based information filtering/extraction/personalization. General research problems include record linkage, classifying web-pages, personalized information filtering, alerting, personal information.
New York, NY, US
Worked on baseline methods within Network Learning, such as the Relational Neighbor classifier (RN), to which relational learners should be compared when assessing how well they have extracted a useful model from the given relational structure.
New Brunswick, NJ, US
Performed research in machine learning with my advisor and colleagues in the machine learning research group. Research spanned developing a framework for ranking of information based on user interest and multiple information sources, developing the Information Valet framework, to work with multiple wireless devices and multiple information sources. The.
US
Chief Architect and Designer for an agent framework for the web as well as an event- and messaging- driven communication model. The agent framework, available as part of the SmartCode product, and built entirely in Java, uses an event- and messaging- driven model and include work on distributed computing using the HTTP, FTP and SMTP protocol levels. This.
Chief Architect and Designer for a prototype web-agent framework. Did initial performance experiments for proof of concept. Started on the design of the next generation of the framework, which realized a commercial release at Information Architects.
New Brunswick, NJ, US
Taught core data structures and programming fundamentals to both graduates and undergraduates in Computer Science.
Developed and maintained a beta-release of an Inter-Process-Communication (IPC) package between Unix and MacIntoshes using the AppleEvent(AE) protocol. The package was developed using the MPW and ThinkC environments on the MacIntosh. Compared three different environments: Prograph, SmallTalk, and SmallTalk Agents(beta-tested) and advised on which.
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Sofus Macskássy works for Alchemist Accelerator.
Sofus Macskássy is listed as [I'm hiring] Co-Founder - Making your data AI ready at Alchemist Accelerator.
AeroLeads has found 1 work email signal at @linkedin.com for Sofus Macskássy at Alchemist Accelerator.
AeroLeads has found 9 phone signal(s) with area code 650, 310, 732, 415, 404 for Sofus Macskássy at Alchemist Accelerator.
Sofus Macskássy is based in Palo Alto, California, United States while working with Alchemist Accelerator.
Sofus Macskássy has worked for Stealth, Alchemist Accelerator, Essence Venture Capital, Georgia Institute Of Technology, and Linkedin.
You can use AeroLeads to view verified contact signals for Sofus Macskássy at Alchemist Accelerator, including work email, phone, and LinkedIn data when available.
Sofus Macskássy holds Phd, Computer Science from Rutgers University.
Sofus Macskássy is listed with skills including Machine Learning, Data Mining, Artificial Intelligence, Information Retrieval, Computer Science, Algorithms, Text Mining, and Data Analysis.
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