Break Down Silos with Taylor Capito

Austin Tech Connect: The Podcast For The Austin Technology Ecosystem, Business Leaders, and Tech Entrepreneurs!

This week on the Austin Tech Connect podcast is one of the most fun conversations you will find on any tech blog. Local entrepreneur Taylor Capito from GenRAIT joins host Thom Singer for a look at tech impacting humanity, innovation, mentors, inspiration, Star Trek, and the movie Flubber. Taylor is the perfect example of leaders who make a difference in our Austin tech ecosystem. She shares her story and her views of what makes Austin great. She also goes deep into ways to "Go Change It" if you see things that need attention. Taylor is a real "DOER".... and if you do not know here company, GenRAIT.... you should be getting to know all that she is doing to change the world. She is one who believes deeping in collaboration and thinks in tech, life, and Austin, we need to break down silos....and find ways to share and work together. About Taylor Capito: Taylor Capito is a passionate founder and CEO dedicated to revolutionizing the use of biological data to enhance health and longevity. With a background in cybersecurity, big data, and AI/Machine Learning, Taylor’s personal health journey inspired her to undertake the mission to transform the life sciences sector. She has significant experience as a leader in product-driven development practices, having led initiatives at Cisco and Palo Alto Networks. As the founder of GenRAIT, Taylor continues to innovate in the life sciences tech space, empowering researchers to leverage data for groundbreaking discoveries. About GenRAIT: GenRAIT stands at the vanguard of merging genomic research with cutting-edge AI technology, aiming to revolutionize personalized medicine. GenRAIT's platform, GenLab, allows researchers to leverage the vast, untapped potential of genomic data in their drug discovery and diagnostic research. At GenRAIT, we believe in the power of collaboration and want to partner with researchers to unlock the future of discovery. The goal: targeted, predictive modeling is possible in biology, and people live longer, healthier lives as a result.