Behavioral Signals - The Team

What We Do

We are bridging the communication gap between humans and machines by introducing emotional intelligence, from speech, into conversations with AI. We have created the fastest evolving and most robust emotion AI, enabling everyone to add emotion and behavioral recognition to their own software solutions, through the Oliver API. Whether it’s for a virtual assistant on a mobile phone, on the web, in a car, on a smart speaker, or for a social robot, an interactive child’s toy, a robotic carer, companies, developers or DIY enthusiasts can now design and build engaging interactions which can seamlessly benefit from our internationally acclaimed speech emotion recognition technology. Our production-level Oliver ΑPI, offers a rich variety of emotional and behavioral metrics and allows both real-time and batch audio processing, and can readily support heavy-duty applications.

Our Founders

Driven by a passion to bring our ground-breaking patented speech-to-emotion and speech-to-behaviors technologies to market, Professors and Scientists, Alex Potamianos and Shri Narayanan founded Behavioral Signals in 2016. With the goal of enhancing and forever changing the world of business, technology is at the core of what we do. Our algorithms analyze human emotions and behaviors, transform data into usable information, and lead to making better business decisions and increasing profits. Until now, human emotion has been considered impossible to quantify, and impossible to measure. With our patented analytics engine, we use science to measure and interpret the “how” part of human interactions.

The Team


Rana Gujral

An exceptional forward looking visionary, Rana joined the Behavioral Signals’ family this year as its new CEO. He’s spent his career working as an investor, executive and entrepreneur with extensive experience in enterprise software, product development, strategy, business-building and emerging markets.
Prior to Behavioral Signals, Rana founded and was the CEO of TiZE, a leading machine learning SaaS startup. He raised the initial round and led TiZE through its formative traction. Prior to TiZE, Rana affected the turnaround of Cricut’s EBITDA position to profitability within a span of 2 years. Previously, Rana held leadership positions at Logitech S.A. and Kronos Inc., where he was responsible for the development of best-in-class products. Rana was awarded the ‘Entrepreneur of the Month’ by CIO Magazine and the ‘US-China Pioneer’ Award by IEIE. Rana was also listed among Top 10 Entrepreneurs to follow in 2017 by Huffington Post.

“Artificial intelligence is helping businesses create experiences that naturally integrate with consumers’ everyday lives. Human communication is a complex process that depends on the words being spoken, as well as the way they are being expressed. We understand not only what is being said but how it is being said, the emotions, intentions, state-of-mind and behaviors of each person. I’m extremely optimistic about our potential.”

VP of Engineering

Nassos Katsamanis

Nassos is our tech lead and is based in Athens, Greece where he works with our global team of engineers. He is devoted to building cutting edge technologies into the company’s products and turn them into profitable real world solutions for our clients.

Nassos has conducted extensive research in behavioral signal understanding, working on his postdoc with Shri Narayanan at USC, LA. He is also an entrepreneur, having co-founded, the first voice-controlled apiculture application, and as its CTO, he brought the speech-enabled apiculture platform to market. Before that, he received the Diploma in ECE (with highest honors) and Ph.D. degree from the National Technical University of Athens (NTUA) in Greece. After his postdoc at USC, and 3 years thereafter, he was a Research Scientist at the Robotic Perception and Interaction Unit of Athena RC in Greece, working on (distant) speech recognition, gesture recognition, deep learning, audio saliency estimation and multimodal signal processing.

In his leisure time, he enjoys hiking, painting, and playing on a local soccer team.

Chief Scientist & Co-founder

Shri Narayanan

There is a lot that we can say about Shri, our Chief Scientist. In fact, there is an entire wikipedia page about his many accomplishments. He is a pioneer in human-centered information processing and communication technologies, with a special emphasis on behavioral signal processing and informatics.

Shri brings his vision to the team, encouraging new ways of thinking. He informs and inspires us to reach beyond what is possible today, setting new standards for tomorrow.

Granted, Shri is a very busy person, but in his leisure time he enjoys playing the citar.

He is a graduate, with an M.S. Engineering and Ph.D. degrees in Electrical Engineering, of the University of California Los Angeles (UCLA) and is an Andrew J. Viterbi Professor of Engineering at the University of Southern California (USC). Shri holds appointments as Professor of Electrical Engineering, Computer Science, Linguistics, Psychology, Neuroscience and Pediatrics and is the founding director of the Ming Hsieh Institute. Prior to USC, Shri was with AT&T Bell Labs and AT&T Research from 1995 to 2000. At USC, he founded and currently directs the Signal Analysis and Interpretation Laboratory (SAIL).



Alex Potamianos

A rare mix of scientist and businessman, Alex is a well-regarded innovator in the field of speech and natural language processing, interactive voice response systems and behavioral informatics. He has over 20 years of leadership experience both in the corporate and entrepreneurial sides of business. His background includes working at AT&T Labs-Research, Bell Labs and Lucent Technologies and is a co-founder of Alesman.

“Technology has become ubiquitous in our society as algorithmic capabilities expand and increasingly disruptive ideas are brought forth. Businesses, now more than ever, can take advantage of this technology in order to be increasingly efficient, improve quality, and reduce costs. Our products accomplish that and more

Alex Potamianos

His academic achievements have gone hand in hand with his extensive research work, receiving his M.Sc. and Ph.D. degrees in Engineering Sciences from Harvard University and later his MBA from the Stern School of Business, NYU.

Alex lives in Los Angeles where he enjoys kayaking and sailing.

Marketing Lead

Vicki Kolovou

Vicki is Marketing Lead at Behavioral Signals. Born in Australia but living between the UK and  Greece, Vicki is an expert in brand identity and digital marketing strategy, working with companies across many industries including tech, tourism, ehealth, food processing, fashion and furniture.
As a business woman, producer and active supporter of the startup ecosystem, Vicki has co-founded several successful ventures, including Tech Talks Central, a web radio platform that interviews technologists, scientists and researchers, broadcasting live from within tech events.

She loves meeting and talking with people from all over the world, and has a strong belief that you learn at every stage of the development process. Even from failures!

Director of Machine Learning

Theodoros Giannakopoulos

Theodoros is Director of Machine Learning at Behavioral Signal Technologies. Based in Greece, Dr. Giannakopoulos has multiple degrees, including a Ph.D. in the Department of Informatics and Telecommunications, University of Athens.

In addition to his work with Behavioral Signals, he is also teaching Multimodal Information Processing and Analysis in the Data Science Master of IIT, NCSR.  He is the co-author of more than 70 publications in journals and conferences, and also co-author of the book “Introduction to Audio Analysis: A MATLAB Approach”.

His accolades include winning two best-paper awards at MMSP2007 and ICMLA2010 and being ranked in the top 0.5% of Python users according to He is an enthusiastic and active member of the open-source community.


Senior Platform Engineer

Spyros Georgiladakis

Spiros is a Senior Platform Engineer at Behavioral Signal Technologies. Based in Greece, Spiros has a M.Sc. in Electronic and Computer Engineering from the Technical University of Crete. In addition to developing the Behavioral Signals platform, he is the Founder of web design and development company, Websphere.

His background includes working as a software engineer for Behavioral Informatix, and as a research assistant for the Technical University of Crete and the Athena Research and Innovation Center.

He also speaks Greek, English and Spanish!


Jay Leano

Jay has over ten years of experience at high-growth companies focusing on the mid-market and enterprise space. He’s built and scaled high-performing sales teams – accelerated demand generation, and uncovered new market segments. He’s a well-rounded sales leader that is passionate about professional and personal growth. His core strengths lie in scaling teams, sales execution, lead gen, ABM, go-to-market strategy, and accelerating growth from Seed to Series B.

Marketing Assets Manager

Popi Paraschaki

Popi is Marketing Assets Manager at Behavioral Signals. She has professional experience in communication, PR and project management. She’s worked for large advertising agencies managing communication campaigns for big organizations and has gained vast experience in digital marketing. She has expertise in the fields of e-health, F&B, and architecture. She has a passion for creativity, teamwork, and good results. In her spare time, she loves being with her daughters, meeting with friends, and enjoying small getaways in nature.

R&D Software Developer

Ledion Sotiri

Ledion is an R&D Software Developer at Behavioral Signals with an extensive knowledge of system analysis and software engineering for networks, including mobile communications. He’s also prolific in image and video processing. With a strong mathematical background, he excels in analytical thinking and probabilities analysis.

When Ledion is not tinkering away with writing code he loves to read about philosophy and psychology, interpreting human behaviors, while also looking up towards the stars in his spare time.

Machine Learning Engineer

Dimitris Sgouropoulos

Dimitris has a BSc Degree in Informatics and an MSc Degree in Signal and Information Processing and Learning. He’s working with the Machine Learning team at Behavioral Signals.

He has worked as a Research Assistant at the National Centre of Scientific Research “Demokritos” in the field of Machine Learning with multimedia content.

In his spare time, Dimitris likes to relax by playing computer and board games with friends.

Machine Learning Engineer - Intern

Thomas Melistas

Thomas is an intern at Behavioral Signals working with Machine Learning while finishing his Electrical and Computer Engineering degree at the National Technical University of Athens. He is deeply interested in the applications of artificial intelligence in the field of arts and especially music, which plays a big role in his life. When he doesn’t play or listen to music he enjoys traveling and reading.

Machine Learning Engineer

Aggelina Chatziagapi

Aggelina is a Machine Learning Engineer at Behavioral Signals. She received her degree in Electrical and Computer Engineering at the National Technical University of Athens, Greece. The subject of her thesis was “Speaker Adaptation for Speech Emotion Recognition” under the supervision of Professor Alexandros Potamianos.

In addition to Machine Learning and Speech Processing, she also has experience and knowledge in Image Processing and Computer Vision.

Her hobbies are dance, both classical and contemporary, and she also likes photography and traveling.

VP of Analytics

Manolis Tsangaris

Manolis is based in Athens, Greece where he leads our product development and business analytics teams. He works directly with clients to understand their pains, workflow and iterate solutions with our engineering team based on our core technology. We call Manolis, our unconventional thinker., because he is not tied to mainstream thinking in order to create a solution.

His long time experience includes Chief Technology Officer & Architect at Sinartia Technologies and he holds a Ph.D. and a Master’s in Sciences in Computer Sciences from the University of Wisconsin-Madison and an Engineering Degree in Electrical and Electronics Engineering from the National Technical University of Athens. He has participated in two Silicon Valley Startups as a multiprocessing expert and Senior Architect, and two Boston based startups, as a technical leader and operations director. He has also contributed his technical leadership in two EU funded projects with the University of Athens, Greece. He has worked with  AT&T/Lucent Bell Labs from 1995 through 2001.

He holds two US patents in distributed multi processing for Electronic Design Automation and cell phone micro-location sensing.

Manolis loves to preserve traditional Greek music from his island home of Karpathos through recording, archiving and production.

Machine Learning Engineer

Malvina Nikandrou

Malvina is working at Behavioral Signals as a Machine Learning Engineer.

She recently received her degree in Electrical and Computer Engineering from the National Technology University of Athens. As her area of interest lies within Natural Language Processing, she is currently part of the team that develops text-based models for emotion recognition.

Outside work, she enjoys simple things, like practicing yoga, tea tasting, and watching documentaries with friends.

Senior Machine Learning Engineer

Colin Vaz

Colin is a Senior Machine Learning Engineer at Behavioral Signals. Based in Los Angeles, he leads the speech modeling and acoustic robustness research and development efforts at the company. He earned his Ph.D. in Electrical Engineering at the University of Southern California. His research interests lie in noise robust speech processing, with an emphasis on speech enhancement and improving automatic speech recognition performance in noisy environments. His work on speech denoising has won a Best Paper Award.

In his free time, Colin enjoys playing the piano and composing music. He also enjoys biking and is a budding coffee connoisseur (or maybe just a caffeine addict).

R&D Software Engineer

Dimitris Mastrogiannopoulos

Dimitris is an R&D Software Engineer at Behavioral Signals with a strong set of skills software engineering,
embedded programming and audio signal processing engineering. When he’s not coding Dimitris plays his guitar or saxophone while often dwelling into audio processing with Pure Data and Max/MSP and photography.


Efi Giannopoulou

Efi has a BA in Linguistics from the University of Athens and an MA in Linguistics from the University of Utrecht, where she specialized in psycholinguistics, particularly in the relationship of language and cognition, and language and emotion.

She has worked as a computational linguist and as a lecturer of psycholinguistics. She is currently working as a linguist with the Applications Engineers’ team at Behavioral Signals.

Machine Learning Engineer

George Paraskevopoulos

George is Machine Learning Engineer at Behavioral Signals. He’s experienced in the cloud telecommunications domain and in machine learning. He’s also a PhD candidate on Multimodal Semantics using Deep Learning at the National Technology University in Athens.

When George is not working on his computer he loves to read, play his guitar or go hiking.

UX Designer

Manos Kalaitzoglou

Manos has been working as a UX designer since 2006 creating solutions for clients like Microsoft, Facebook, the European Union and various tech start-ups. During 2016, he led a team of passionate UX designers for Digital A.I.R Innovation, an Augmented / Mixed reality start-up based in South East Asia. He is proficient in conducting design sprints, performing market analysis, user research, content strategy, information architecture flowcharts, wire frames, responsive mockups, functional prototypes and user testing sessions. Products he designed have been awarded by the Ermis, Social Media and Webit Awards and his work has been featured on and

When Manos is not designing products he can be found dabbling in film and game direction as well as screenwriting.

Machine Learning Engineer

George Pantazopoulos

George received his degree in Electrical and Computer Engineering from the National Technical University of Athens, specializing in Speech Emotion Recognition. He’s now working with the Machine Learning Modeling team.

When George is not coding, he enjoys discovering new music, reading and travelling.

Machine Learning Engineer - intern

Tanner Sorensen

Tanner is a Linguistics Ph.D. student from the University of Southern California in Los Angeles, specializing in speech production and facial expression. His Ph.D. work focuses on magnetic resonance imaging of speech production and the coordination of facial expression with speech. He is now working with the Machine Learning Modeling Team as an intern Machine Learning Engineer.

Machine Learning Engineer

Efthymis Georgiou

Efthymis is a Machine Learning Engineer at Behavioral Signals. He holds a diploma in Electrical and Computer Engineering from the National Technical University of Athens and is also a Ph.D. Candidate at the same department.

In his leisure time, Efthymis enjoys playing his guitar, watching movies, and playing basketball.


Behavioral Data Analyst

Efi Arvaniti

Efi is a graduate of the School of Electronic and Computer Engineering, from the Technical University of Crete. Her diploma thesis is in the field of image and signal processing of medical images, titled “Quantitative Analysis of Spatial Profiles of Intensity in Dynamic Optical Signals: Applying to the Estimation of risk Transformation from Neoplasia into Cancer”.
In 2011, she received her Master’s Degree from the University of Ioannina, School of Informatics. Her master’s thesis is in electronics and power consumption of circuits during the testing phase of their production, titled “Scan Chain Partitioning for Low-Power Scan Testing”.
During her master studies, she worked for two semesters as an assistant in the Digital Design Lab at the University of Ioannina, Greece. She has received a certification diploma in education training. She has also worked in a specialized high school as a teacher of informatics in Thessaloniki. She also is a co-founder and partner of a computer and software business in Thessaloniki specializing in websites, web advertising, technology consulting, computer services and software development.
Efi works with Behavioral Signals as an Annotator. She speaks Greek, English and German.

Behavioral Data Analyst

Georgios Traianos

Georgios holds a BSc degree in Computer Science from the Aristotle University of Thessaloniki, Greece. His thesis was about Machine Learning, more specifically Multi-Label Classification, wherein he was required to study the subject from a theoretical point of view and eventually contributed code to the Mulan open source library. He continued his studies in Computer Science and acquired an MSc degree from the University of Bonn. The subject of his thesis concerned Machine Learning -“Signal Classification Based on Spectral ACF Features”. The task consisted of classifying audio signals based on whether they contain speech. The majority of his work was done in MATLAB, which included developing code and utilizing libraries for the specific purpose of the task.

In between his studies, he taught two training courses at a vocational training institute for a semester; one dealt with the basics of C programming language, the other with C++.

His pastimes include cycling, listening to lots of music (bitten by the jazz bug since his mid-20s), and as of late, attempting to study Aristotle’s “Politics”.

Behavioral Data Analyst

Polytimi Vintsilaiou

Politimi has a BSc Degree in Political Science and Public Administration, and she specializes in international affairs. She has worked as a political analyzer for independent research centers, dealing with international politics. She also contributes to the international affairs column, for the digital magazine Off Line Post, on issues related to international investments and energy.

She speaks Greek, English, French and is now learning German.

During her spare time, she likes running, loves to watch basketball, and is an avid traveler.

Join The Team

Machine Learning Engineer

As a member of the ML Team, you will work on building supervised and semi-supervised models for emotion and behavior recognition from audio and speech signals. You will use and expand our existing pipelines and methodologies for continuously integrating vast amounts of speech data into our emotion and behavior estimation models. Based mostly on how something is being said (therefore using audio information) but also using information from what is being said (based on textual analytics) you will work along with our Core Product team on embedding the ML algorithms on various applications and demos, ranging from call center analytics to human-robot interaction and virtual assistants.

Senior Software Engineer

As a member of our Engineering team you will be expected to:

Research, design, and develop services and solutions (in Python, Java, or other languages) to improve our platform’s performance.
Write tests for your code and properly integrate it into our CI/CD pipeline (Bitbucket hooks/Ansible, Jenkins/Robot Framework). Review and debug code.
Plan your work and collaborate with other engineers in a mixed Scrum and Kanban framework to help the team deliver platform and product improvements on a biweekly basis.
Please note that since our Engineering team is primarily located in Greece currently, this position is only open to people residing in UTC to UTC + 3 timezones.



Our Investors

Kairos Ventures

Our Advisors