Partha Datta Ray, CEO and Founding CTO
Partha is currently the Principal Investigator of AI Innovation Research grants awarded by NSF and seats in the Expert Review Board for AI projects there. He got his early exposure to AI while working at AT&T Bell Laboratories Research in the 80s and developed AI systems for predicting performance of large-scale network systems operated by AT&T and optimizing their operations.
With a strong conviction that a sophisticated AI framework for solving problems arising in a complex social or technical systems will need a combination of data driven statistical modeling, along with other approaches such as knowledge models, formal reasoning systems, computational graphs for structural modeling, Partha founded Albeado with the goal of making such combined models not only deliver practical machine learning but also provide model interpretability. Business leaders and systems operators managing such systems will need to understand the issues facing the systems dynamics and the underlying reasons for those changes so that they can provide the needed mitigation. Without systems and performance explainability, such users will not be able to trust and effectively use resulting predictions to make decisions and control their outcome.
In the past 30+ years he has also directed corporate labs and business units in areas of ASIC design and EDA Software. Many of the prior startups he has been involved with were acquired by Mentor Graphics, Agere (now part of Intel), L&T InfoTech and Dow Jones. He has eight granted and pending patents, has chaired technical working groups and standardization committees for IEEE and was also invited keynote speakers. Partha holds a MSEE&CS from Rutgers and has conducted advanced academic and industrial research work at leading institutes.
Gyan Ranjan, PhD, Senior Director of Data Science Systems
Gyan Ranjan, Senior Director of Data Science Systems received his PhD in Computer Science from University of Minnesota for his work on graph and network theoretic analysis.
He has since been involved with applying big data analytics and practical machine learning to various problems in the areas of network measurement, cyber security, cyber insurance and online advertising.
Prior to joining Albeado, he was with Boeing Research, Symantec Corp. and C1X Inc. His research interests include predictive analytics, complex networks, algebraic graph theory and explainability of systems.
Darwin Allan Farrow, PhD, Senior Director of Data Analytics and Science
Allan has developed and grown data and analytics as well as software development teams over his 20 years of experience and is currently Senior Director of Data Analytics and Science at Albeado.
He has developed and deployed solutions for the financial services domain in insurance risk assessment and proprietary trading algorithms as well the biotechnology domain where he helped develop algorithms for medical devices, diagnostic equipment, and identifying effective drug therapies.
Allan holds a BS and MSc in Aerospace engineering from Texas A&M University and a Ph.D. in Bioengineering from the University of California, San Diego.
Lule Yu, PhD, Lead Data Scientist
A distinguished Data Scientist, Lule has spent the last 10 years in computational modeling and data analysis and has published over 30 high-impact scientific journals and international conference proceedings and has participated in 13 invited talks at national and international conferences.
At Albeado, she has helped develop a healthcare fraud detection system which extracts hidden network features to boost the detection accuracy and deliver the explanation for prediction using graph theory and network analysis. The system has been implemented as a high-speed parallel-distributed anomaly detection system and is part of the PRISMTM platform to analyze high volume imbalanced insurance claims data. She has also developed forecasting systems using intermittent time series forecasting models applied for inventory optimization at various customers.
She earned her Ph.D. in Physics at Lawrence Berkeley National Laboratory in 2012 and has also worked at Institute of Physics, Chinese Academy of Sciences.
Atul Agarwal, VP Engineering and customer support, Co-founder
Atul has more than 30 years of experience in building complex enterprise software systems and currently heads a team of engineers building a framework for developing and securely integrating AI and ML applications in telecom, industrial automation and healthcare sector.
Before Albeado, he founded multiple technology startups and successfully grown Apt Software which provides software development and product engineering services to many technology startups in the Silicon Valley and organizations around the world in diverse areas like energy exploration, utility operation, mobile applications for ecommerce and entertainment sectors and semiconductor design and services He currently heads the Albeado India Design Center.
He earned his BS at Indian Institute of Technology, Kharagpur and MS in Computer Science from Rutgers University.
Razvan Bohatel, Chief Software Architect
Razvan has been leading the Software architecture and design team at Albado for the past 6 years.
Before Albeado, Razvan has led multiple teams over the last 21 years, providing integration and development services as well as customs engineering for companies like Intellisync, Nokia and Microsoft. Much of this time he was focused on the development and integration of complex and highly scalable data management and coherence solutions including heterogeneous database synchronization solutions.
Razvan earned his MSc in Computer Science from the Technical University of Cluj Napoca, Romania.
Ying Jiang, PhD, Lead Data Scientist
As a Lead Data Scientist at Albeado, Ying has lead Data Science teams for multiple projects and has more than 11 years in data science modeling and data analysis.
At Albeado she has focused on developing platforms and applications for Manufacturing outcome prediction, Data center incidence management and advanced Telecom operations.
She has patents and publications in diverse areas ranging from Surface Acoustic Wave Sensor for Influenza Detection to Mechanochromic materials and their potential for biological and healthcare applications.
Ying earned her MS and Ph.D. from Stanford University in 2011 and her BS (summa cum laude) from Cornell University in 2005.
Michael Siemon, PhD, Data and Graph Scientist
Michael Siemon is Staff Data and Graph scientist at Albeado.
After his BA from University of Chicago in 2008, Michael received his PhD in Economic Sociology from Cornell University. His researched focused on applying network methods to economic issues like loan approval and business group structure.
Wei Wu, PhD, Director of Data Science
Before being Director of Data Science at Albeado, Wei Wu spent 8 years at Sprint where he led cross-functional teams to deliver network analytical projects as well as successfully operationalizing customer mobile network experience model to transform Sprint into CX-driven decision-making organization. He also developed Quality of Experience (QoE) oriented solutions such as targeted base treatment and network build optimization which lead to significant churn reduction. His research interest includes Using Customer Analytics to Detect Network Events and improvement of Deep Neural Networks.
Wei earned his MS and Ph.D. in Applied Statistics and his BS in Geographic Information Systems.
Koshy George, Finance and HR
Koshy heads Albeado's Finance and HR and is a licensed CPA and a Fellow Member of The Institute of Chartered Accountants of India.
Koshy has 30+ Years of Professional Experience with the Big Four and several Major Fortune 1000 Global corporations before he launched his own Practice as a Public Accountant 11 years back. Koshy specializes in servicing Start Up and Small Business as a Tax, Accounting and Business Advisory Services Professional. He is also involved with Retirement Distribution Planning services and is the President of America's Tax Solutions Inc. based in San Diego, CA.