Vadim Slavin

Cofounder at StartupMonthly
Managing Partner at Monthly Ventures

Expertise

  • Business model generation
  • Lean startup methodology
  • Product management
  • Leadership, teamwork, and human resource management
  • Architecture of complex systems
  • Business intelligence
  • Software engineering
  • UX/UI
  • Advanced algorithms development
  • Human-systems interactions
  • Data and information visualization
  • Visual fusion
  • Information architecture and understanding
  • Big data analytics
  • Enterprise business intelligence
  • Distributed systems
  • Semantic technologies
  • Probabilistic Reasoning
  • Virtual and augmented reality systems
  • Formal analysis of complex systems

Bio

Vadim is an accomplished software engineer, a solutions architect, experiential learner, tireless hustler, accomplished research scientist, and an entrepreneur with experience in advanced research in information science and human-systems interactions. 

With his prior background in scientific research and innovation in the field of human-systems interactions for a large corporation, Vadim was able to connect the dots between various aspects of entrEpreneurship and intrApreneurship in order to come up with key parts of the StartupMonthly methodology. 

With academic background in Mathematics, Physics, and Computer Science, Vadim is an entrepreneur with experience leading advanced research programs for the US government. Vadim also has extensive experience in incubating ideas, pursuing funding, and leading innovation teams. 

Vadim has been involved with startups since 1999 as first a developer, then a consultant, and ultimately a founder of three companies. At Lockheed Martin, Vadim was distinguished during his 7+ years of services as one of the top 2% of employees while he was responsible for 2 research labs and served as a member of the elite cross-corporation Shark Team of experts in big data sciences.

"[Vadim possesses] deep visualization, interaction, and information fusion technology and engineering knowledge with an eagerness to learn more topics of limited familiarity. Well versed in software engineering constructs. Leader and team player. Quality of work coupled with a superb ability to multitask. Excellent communication skills. Excellent networker and broker of relationships. Very sound reasoning and judgment. Exquisite closure. Extremely interpersonal and well-liked by peers."

Vadim's Patents and Publications:
  • "Consequence Analysis of Complex Events on the Nation's Critical Infrastructure", ACM (CACM), 2013
  • Provisional Patent: “A Method for Annotating Three Dimensional Data”,  61/515,282,  2011
  • “Semantic Entities in Virtual Worlds: Reasoning Through Virtual Content”, chapter in book: Metaplasticity in Virtual Worlds: Aesthetics and Semantic Concepts, 2010 (isbn 978-1-60960-077-8)
  • “Analytical World Environments”, chapter in a textbook: Working Through Synthetic Worlds, 2010 (isbn 978-0-7546-7712-3)
  • “Evaluation Framework for Theory Driven Mobile Ad-hoc Networking Protocol Designs”,  Distinguished Technical Paper, OPNETWORK, 2008
  • “Network Utility Maximization-Based Mobile Ad Hoc Networking: A Reality Check”, IEEE MILCOM, 2008
  • Patent: “Apparatus and Method for Measuring Service Performance”, 20080208644, 2008
  • “Evidence Based Collection Using Probabilistic Ontologies”, Ontology for the Intelligence Community (OIC), 2007
  • “Mobile Ad-Hoc Networks Protocols Evaluations Framework”, IEEE Military Communications (MILCOM), 2007
  • “Spatial Dialogue for Space System Autonomy”, Human-Robot Interaction (HRI), 2007
  • “Simulation and Visualization of Topological Defects in Nematic Liquid Crystals”, Physical Review E, 2006
  • “Techniques for the Visualization of Topological Defect Behavior in Nematic Liquid Crystal Simulations”, IEEE Visualization, 2006
  • “Visualization of Topological Defects in Nematic Liquid Crystals Using Streamtubes, Streamsurfaces and Ellipsoids”, IEEE Visualization, 2004    

Vadim graduated suma cum laude from Brown University with a degree in Math-Physics and a Masters in Computer Science specializing in data and information understanding bridging the domains of art, psychology, mathematics, and physics.