About Us

A wild team of ambitious physician scientists, daring academic engineers and creative AI architects coming together to fix stone age-era solve clinical pain points to improve efficiency, quality and access to care in rare and genetic disease, affecting everyone, worldwide.
Contact Us

About Us

A wild team of ambitious physician scientists, daring academic engineers and creative AI architects coming together to fix stone age-era solve clinical pain points to improve efficiency, quality and access to care in rare and genetic disease, affecting everyone, worldwide.
Contact Us

Kat Schmolly

CEO & Founder
Clinical Problem Solver
First generation immigrant from Austria
Education
MD, University of California Los Angeles, David Geffen School of Medicine (Spring 2024)
Bachelor of Arts in Biology from Minot State University, North Dakota
Bachelor of Arts in Biology from Metropolitan State University, Minneapolis-St Paul, MN
Bachelor of Science (Hons) in Equine Science and Social Science from University of Essex, UK
US Air Force Veteran
US Air Force School of Aerospace Medicine
Aeromedical Evacuation Flight Medic 2014-2020, 16 medals and commendations Air Force Commendation Medal for creation of cloud-based live inventory system for flight kits across the entire US Air Force Lean Six Sigma Certified for Healthcare Business
Fourth year medical student at UCLA, David Geffen Medical School
Recruited with Leaders of Tomorrow Full Tuition Scholarship
Co-created patented machine learning algorithm in UCSF-UCLA collaboration to reduce diagnostic delays in genetic and rare disease  → currently being validated for AHP, Systematic Mastocytosis at UCSF, UCLA and the Mayo Clinic
Forging a career in Rare and Genetic Disease
Utilizing AI and Health Technology to reduce diagnostic delays and improve access to up-to-date care and management of patients with rare/genetic disease especially in rural and under-served communities

Vivek Rudrapatna, MD, PhD

Scientific Advisory Board Member
Co-inventor of ML algorithm for reduction of diagnostic delays in rare and genetic disease
Assistant Professor at University of California San Francisco School of Medicine
Education
Fellowship in Gastroenterology andClinical Data Science at the University of California, San Francisco, CA
Internal Medicine Residency at Baylor College of Medicine, Houston TX
MD PhD in Cancer Biology from Icahn School of Medicine, Mount Siniai, NY
A.B in Biophysics from Harvard University, Cambridge, MA
Director of the Real-World Evidence Lab, UCSF
Practicing Gastroenterologist and Physician Scienstist at the Bakar Computational Health Sciences Institute at UCSF
Developing methods for analysis of healthcare data with the goal of improving clinical decision making
Trained in Clinical Science under Dr Atul Butte, Chief Data Scientist at University of California Health
Self-proclaimed data nerd
Enjoys deep learning models, precision medicine, biostatistics, artificial intelligence and natural language processing

Aubhishek Zaman

Academic Bioengineer
Technical Co-founder
Cancer biologist, Bioinformatician and Data scientist
Education
PhD in Oncology and Cancer Biology at University of Texas Southwestern Medical Center
Masters and Bachelor’s of Science in Genetic Engineering and Biotechnology at University of
Dhaka
Data Science, AI and Machine Learning Fellow at Massachusetts Institute of Technology and
Springboard
Postdoctoral Scholar at UCSF
OMICS data analysis for predciting and forestalling evolution of cancer upon targeted therapeutics
Identifying and annotating disease biomarkers using machine learning
Mapping out interaction landscape in cancer cells
models
NCI T32 recipient
NIH R01 coauthor

Jacob Jedryszek

Software Engineer at Meta
Software Engineer at Meta
ex-Microsoft
I work on GenAI at Meta.
In the past, I worked on Experimental Products and Facebook Marketplace Growth Team.
Before Meta, I worked for Microsoft where I helped to build the new Azure Management Portal, Azure Management Mobile App, Azure Search, and SeeingAI.
Conference speaker and triathlete
I occasionally speak at conferences around the World. You can find my talks here and on my YouTube channel.
I love biking and triathlons. I am an Ironman and USA Triathlon National Championships finisher.

Kat Schmolly

CEO & Founder
Clinical Problem Solver
First generation immigrant from Austria
Former Horse Trainer, Waitress, Wine Sommelier Bachelor of Science (Hons) in Equine Science and Social Science from University of Essex, UK Bachelor of Arts in Biology from Minot State University, North Dakota Bachelor of Arts in Biology from Metropolitan State University, Minneapolis-St Paul, Minnesota MD, University of California Los Angeles David Geffen Medical School (June 2024)
US Air Force Veteran
US Air Force School of Aerospace Medicine
Aeromedical Evacuation Flight Medic 2014-2020, 16 medals and commendations Air Force Commendation Medal for creation of cloud-based live inventory system for flight kits across the entire US Air Force Lean Six Sigma Certified for Healthcare Business
Fourth year medical student at UCLA, David Geffen Medical School
Recruited with Leaders of Tomorrow Full Tuition Scholarship
Co-created patented machine learning algorithm in UCSF-UCLA collaboration to reduce diagnostic delays in genetic and rare disease  → currently being validated for AHP, Systematic Mastocytosis at UCSF, UCLA and the Mayo Clinic
Forging a career in Rare and Genetic Disease
Utilizing AI and Health Technology to reduce diagnostic delays and improve access to up-to-date care and management of patients with rare/genetic disease especially in rural and under-served communities

Vivek Rudrapatna, MD, PhD

Scientific Advisory Board Member
Co-inventor of ML algorithm for reduction of diagnostic delays in rare disease
Assistant Professor at University of San Francisco School of Medicine
A.B in Biophysics from Harvard University, Cambridge, MA MD PhD in Cancer Biology from Icahn School of Medicine at Mount Sinai, New York Internal Medicine Residency at Baylor College of Medicine, Houston, TX Fellowship in Gastroenterology and Clinical Data Science at the University of California, San Francisco
Director of the Real-World Evidence Lab
Bakar Computational Health Sciences Institute at UCSF Developing methods for analysis of healthcare data with the goal of improving clinical decision making Trained in Clinical Science under Dr Atul Butte, Chief Data Scientist at University of California Health
Self-proclaimed data nerd
Enjoys deep learning models, precision medicine, biostatistics, artificial intelligence and natural language processing

Aubhishek Zaman

Academic Bioengineer
Technical Co-founder
Computational Biology and Bioinformatics Scientist
PhD in Oncology and Cancer Biology at University of Texas Southwestern Medical CenterMasters and Bachelor’s of Science in Genetic Engineering and Biotechnology at University ofDhakaData Science, AI and Machine Learning Fellow at Massachusetts Institute of Technology andSpringboard
Postdoctoral Scholar at UCSF
OMICS data analysis for cancer genomics, finding disease predictors using machine learningmodels
NIH R01 recipient

Jacob Jedryszek

Software Engineer at Meta
Software Engineer at Meta
ex-Microsoft
I work on GenAI at Meta.
In the past, I worked on Experimental Products and Facebook Marketplace Growth Team.
Before Meta, I worked for Microsoft where I helped to build the new Azure Management Portal, Azure Management Mobile App, Azure Search, and SeeingAI.
Conference speaker and triathlete
I occasionally speak at conferences around the World. You can find my talks here and on my YouTube channel.
I love biking and triathlons. I am an Ironman and USA Triathlon National Championships finisher.

Want to join our team?

We are expanding.
Let's improve the lives of patients worldwide, together
Contact Us

Collaborations

In Collaboration with UCLA, UCSF, Dartmouth and the Mayo Clinic.

We are currently in the development phase. If you are interested in hearing about our project or are interested in collaborating, please contact us.
Contact Us