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Juan del Olmo
Interaction Designer and Data Scientist at Graphext
Professional Background
Juan del Olmo is an accomplished professional known for his contributions to the fields of Visual Analytics, Human Computer Interaction (HCI), and Data Analysis. He is currently utilizing the wealth of knowledge and expertise he gained through rigorous academic training to address complex challenges at Graphext, where he applies innovative interaction techniques to discover insights from intricate data sets. With a robust background in research and academia, his work blends theoretical knowledge with practical applications, making him a valuable asset in the field.
Throughout his career, Juan has been deeply involved in education and has held positions at notable institutions, including a recent role as an Invited Professor at U-tad and a Postdoctoral Researcher at Universidad Politécnica de Madrid. His passion for teaching has allowed him to lecture on crucial subjects such as Data Visualization, Big Data, Human-Computer Interaction, and Web Design at both UPM and u-Tad. His ability to convey complex concepts in an accessible manner resonates with students and professionals alike, further solidifying his status in the academia.
Moreover, Juan's research experience is prolific. He has made a substantial impact in the field with nine published papers, many of which have appeared in prestigious Q1 journals, such as Neuroinformatics, the Journal of Neuroscience, and Frontiers in Neuroanatomy. This remarkable achievement highlights his commitment to advancing knowledge and innovation in areas that lie at the intersection of neuroscience and data visualization.
Adding to his impressive credentials, Juan had the unique opportunity to broaden his horizons as a Research Visitor at the renowned Human Computer Interaction Lab (HCIL) at the University of Maryland. Under the mentorship of esteemed experts Ben Shneiderman and Catherine Plaisant, he sharpened his analytical skills and explored new frontiers in HCI, further enriching his contributions to the field.
Education and Achievements
Juan del Olmo has an educational background marked by excellence and a dedication to progressive learning. He earned his Bachelor's degree in Computer Science at Universidad Politécnica de Madrid, laying the groundwork for his future pursuits. He then advanced his studies by obtaining a Master's degree in Computer Science with a specialization in Artificial Intelligence from the same institution, which helped him cultivate a keen understanding of AI technologies applied to scientific challenges.
His commitment to academia culminated in earning a Doctor of Philosophy (PhD) in Computer Science, focusing on Advanced Computing for Science and Engineering at Universidad Politécnica de Madrid. This scholarly achievement highlights his rigorous research capabilities and his ability to contribute meaningful insights to the realm of computational science and its various applications.
Juan's education was further enriched by attending Programa Vostok VII, where he specialized in Human Computer Interaction, enabling him to bridge the gap between computational theories and real-world applications.
Achievements
Juan del Olmo's achievements are a testament to his dedication and expertise in research and education. His nine published papers, particularly in esteemed journals such as Neuroinformatics and the Journal of Neuroscience, showcase his significant contributions to the academic community. The impact of his research on understanding complex data applications in neuroscience underscores his ability to interconnect data analysis with significant scientific inquiries.
His role at Graphext as an Interaction Designer and Data Scientist allows him to continue his mission of making data more accessible and understandable, emphasizing the importance of data visualization in today's data-driven world. Juan's efforts in advancing HCI techniques have not only benefited his immediate work environment but continue to influence the broader discourse on data interaction.
Additionally, his experiences as a former Invited Professor and his teaching engagements at various universities reflect his commitment to educating the next generation of leaders in data analysis and visualization, ensuring that the knowledge is passed down and further developed in the future.
In summary, Juan del Olmo represents a blend of academic rigor and practical experience in Visual Analytics and HCI, making significant strides in data analysis while educating future professionals in these critical fields.
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Clay works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Clay offers several powerful features including:
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Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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