Alice Starr is a software engineer, with experience designing and architecting scientific research applications. At insitro, Alice is focused on laboratory information and data architecture, making sure we make the most of our generated data. Prior to insitro, she was at Genentech, designing data solutions for the translational research and pathology organizations. She loves to tackle data challenges to advance science, which provides constant opportunities to learn.
Alice received a BS and MS in Mathematics and Computer Science from EPF, France and ITESM, Mexico.
When not working or playing with her two daughters, Alice likes to read and be outdoors as much as possible, walking or running on the beautiful California trails.
Alicia is a research associate focusing on developing and optimizing workflows to use on insitro’s automated systems.
Alicia was previously responsible for screening thousands of modified strains per week in a highly automated environment. She also spent time on a process quality management team where she worked with automation engineers, lab users, and software developers to build and test a paperless equipment management platform. Prior to her experience in process quality management, she worked with a small team creating one of the world’s largest induced pluripotent stem cell banks. The project was funded by a CIRM grant that resulted from the passing of proposition 71. Her focus was automating workflows on an integrated system and designing experiments focused on optimizing high throughput systems.
In her free time Alicia enjoys hiking, camping, reading, & museums.
Amanda is part of the Lab Operations team. She will support and help maintain the lab benches, restock and order lab supplies, and assist with implementing lab processes.
After obtaining her B.A. in Biology from San Francisco State University, Amanda worked at Genentech as a Quality Control Associate.
In her spare time, Amanda enjoys photography, exploring new foods with her family, and spending time with her friends.
As a Lead Lab Operations Associate, Amien is a part of the Automation & Engineering team with focus on implementing and supporting automation solutions across multiple functions at insitro. Amien also helps maintain and implement operational excellence within insitro’s laboratories.
Prior to joining insitro, Amien spent the last few years as a Lab Manager, where he focused on streamlining processes, EH&S, supply chain management and implementing operational excellence.
Amien holds a Cell & Molecular Biology degree from San Francisco State University.
In his spare time, Amien enjoys going on road trips, weightlifting, and traveling.
Blake is an associate scientist on the process engineering team at insitro. His focus is on supporting and developing automation solutions to provide high quality data for research and machine learning.
Prior to joining insitro, Blake worked in lab operations at Emerald Cloud Lab where he gained experience working with a wide breadth of analytical methods and instrumentation.
Blake received his B.S. in chemistry from Carnegie Mellon University with a focus on polymer science.
In his free time, Blake enjoys skiing and hiking with friends.
Brigham Jay Hartley is a Cell Engineer on the Functional Genomics team part of High Throughput Biology. His work utilizes start of the art gene and genome modification technologies to generate complex cellular models of disease and novel biological tools.
Following his PhD modeling cellular aspects of Parkinson’s disease using hIPSC-derived neurons at Monash University in Australia, Brigham completed a Post-Doc at Mount Sinai in New York functionalizing the genomics of neurodevelopmental disorders using hiPSCs, transcriptomics and screening technologies. Brigham was then recruited as a start-up member of Sana Biotechnology in Cambridge, MA where he led a team that developed novel engineered cellular-derived material. Brigham then gained a fascination and a love for the intersection of robotics and high throughput biology at the New York Stem Cell Foundation where he led the platforming of genome modification technologies, differentiation and phenotyping of hIPSC using liquid handling robotics.
When not in the lab, Brigham likes to shape the future of bonsai trees, watch F1 cars go round and round the track really fast and get out in nature on his mountain bike. He also enjoys thinking about what the cells are up to.
Chris Probert is a computational biologist and computer scientist with extensive experience building deep learning models for genomic data. His current work at insitro is focused on enabling large-scale deep learning on functional genomic data produced by the high throughput biology platform.
Chris is a PhD candidate in Computational Biology (Genetics) at Stanford working with Anshul Kundaje and Christina Curtis where he was an NSF Fellow and an Accel Innovation Scholar. His PhD work focused on large-scale machine learning analysis of functional genomics datasets, including imputation and superresolution of genome-wide epigenomic signals, unsupervised methods for learning differentiation lineages in single-cell RNA-seq, and tissue of origin inference from cell-free DNA fragmentation patterns. He has extensive engineering experience building scalable infrastructure and data architectures to support distributed training of deep learning models from petabyte-scale functional genomic datasets. He also holds an MS and BS in Computer Science, and experience working in both research and product focused software engineering roles at Google, Illumina, and Counsyl.
Outside of work, Chris enjoys running, cycling, backpacking, and backcountry skiing.
Christoph is a scientist turned software engineer who loves bridging the gap between software and the life sciences. His current work focuses on developing the scientific pipelines that enable our biology and machine learning teams at insitro.
Previously at Myriad Genetics and Counsyl, Christoph led engineering teams charged with the clinical interpretation of variants detected in patients. These teams develop the pipelines that filter thousands of variants per sample down to the few that cause rare diseases, predispose you to elevated cancer risks or challenge the health of your pregnancy.
Christoph holds a Ph.D. in Chemical and Biomolecular Engineering from Vanderbilt where he studied tribology using molecular dynamics and built open source tools to enable large scale screening studies.
Outside of work, Christoph enjoys biking, surfing, reading and spending as much time outside as possible with his partner and his pupper, Oscar.
David is an automation engineer on the Process Engineering team at insitro. David collaborates with scientists and engineers to design, develop, and implement automation solutions for high-throughput biology protocols and workflows, enabling machine learning applications in biology.
David’s experience spans across both cell biology and engineering. He started as a research associate at the Wyss Institute at Harvard where he collaborated with scientists to design novel microfluidic cell-based models. He quickly transitioned to a startup as a scientist at Emulate where he developed dynamic, three dimensional in vitro cell models of the lung and liver. He worked on designing, characterizing, and testing these models with primary human cells for disease modeling and toxicology applications in collaboration with major pharmas. He later transitioned into the engineering discovery arm of Emulate where he led liquid handling automation for platform expansion.
David holds a B.S. in Biomedical Engineering from Boston University and M.S. in Bioengineering from the University of Pennsylvania.
In his free time, David enjoys exploring new hikes, trying new restaurants, and relaxing on the beach on a hot sunny day.
Donald is a Senior Lead Engineer, primarily working on developing strategies for internal pipelines, data provenance, and cloud infrastructure. As part of the data engineering team, Donald is working with the other teams to scale and automate internal pipelines and improve the common infrastructure to support future analyses.
Previously, he was a principal engineer at Counsyl (acquired by Myriad) working across many teams helping to develop a new LIMS system, a platform for variant curation, bioinformatics pipelines, and moving to a cloud infrastructure from on premises.
Donald received a BS and MS in Computer Science from Drexel University.
In his free time, Donald enjoys backpacking, skiing, biking, and reading.
Edward is a Staff Software Engineer at Insitro. He has diverse industry experience ranging from working horizontally across large cross-functional teams at companies like Google and Oracle, and also writing code across the entire tech stack at smaller startups.
When his wife was diagnosed with an intractable cancer, Edward learned first-hand the criticality of data-driven medical decisions and developed a custom immunotherapy based treatment plan at a time when the modality was not yet proven. Consequently, he has a passion for advancing human health through improved data-driven decisions and the leveraging of novel medical therapies and modalities.
Edward holds an M.S. in Electrical Engineering from Stanford University, a B.S. in Electrical Engineering and B.A. in Business Economics from Brown University.
In his free time, Edward enjoys chess and improvising on the button accordion and piano.
As a member of the Process Engineering team at insitro, Elaine is working to develop and scale high quality systems and processes to enable the production of high quality biological data for machine learning.
Elaine started her career as a Systems Engineer at Roche developing in vitro diagnostic instruments. At Roche, she was responsible for the design, integration, and lifecycle management of different complex systems. She later moved into the world of biotech startups at Synthego as an Automation Engineer, where she was involved in everything from system qualifications, new process development, to continuous improvement. Some of her projects included developing robust automated processes to enable new CRISPR oligo products and building an automated platform to allow for rapid iteration in scaling engineered cells. Elaine holds a B.S. and M.Eng in Biomedical Engineering from Cornell University with a minor in Music.
In her free time, Elaine enjoys traveling to new places, playing the violin, and building cardboard forts for her two cats.
Eva-Maria joined insitro from the Silicon Valley Innovation Hub of EMD Serono (an affiliate of Merck KGaA, Darmstadt Germany), where she worked as a technology scout and helped identify the next big innovative disruptors. Prior to this role she worked as a medicinal chemist first in the headquarters in Darmstadt, Germany and then in Boston, MA pushing a small molecule drug candidate from concept to clinical development.
Before joining EMD, Eva-Maria was a postdoctoral fellow in Prof. Keisuke Susuki’s lab at Tokyo Institute of Technology in Japan. Eva-Maria received her Ph.D. in organic chemistry from the ETH Zurich, CH in the group of Prof. Ryan Gilmour and a Diploma in Chemistry from the Julius-Maximilians University in Würzburg, Germany.
In her spare time, Eva-Maria loves to box, cook /eat good food and spend time with her family outdoors.
James is a Senior Lead Data Engineer, primarily working with distributed systems and big data applications. As part of the Data Engineering team, his goal is to facilitate the development of machine learning pipelines, focusing on scalability, efficiency and repeatability.
James was previously a Ph.D. candidate at Stanford University, where he devised robot motion strategies for the Honda Asimo and Mars rover prototypes. He holds a M.Sc. in Scientific Computing from Stanford and a B.Sc. in Mathematics From Texas A&M University. Prior to joining Insitro, James worked on creating bioinformatics tools at Roche and Helix, and he co-authored a book on big data architectures.
In his free time, he chases after his dog and three cats, enjoys playing board games, travels internationally, and hacks on open-source software projects.
John Bisognano is a software engineer with a background in building platforms for clinical and genomic data analyses. He looks to improve health care accessibility through technological innovation.
Previously, John was an engineer at Myriad Women’s Health working on distributed pipelines for variant classification. He also worked on data health at Cerner and as a researcher at Washington University’s Institute for Informatics, focusing on clinical informatics infrastructure and public health initiatives. John received a BS in computer science and bioinformatics from Washington University in St. Louis.
In his free time, John enjoys running, surfing and improving on his cooking skills with occasional new recipes.
Joe Marrama is a software engineer with background in heathcare data and distributed systems. At Insitro, Joe is focused on ensuring that the large amount of data we generate is effectively processed and stored.
Joe is a native of Oakland. He attended Stanford where he graduated with a BS in Symbolic Systems and a MS in Computer Science. Prior to Insitro, Joe worked at Nuna Health, where he worked with the federal Medicare program to build a system that evaluated healthcare providers on quality of service and cost-effectiveness. He loves to tackle complex engineering problems in the service of helping others.
Outside of work, Joe enjoys surfing, skiing, mountain biking, cooking, and reading.
Kathryn is a Senior Software Engineer with a background in the microbiome and cloud computing. At insitro Kathryn is working with the data engineering, and data science and machine learning teams to build and scale data analysis pipelines in the cloud.
Before joining insitro, Kathryn worked at Second Genome building metagenomics pipelines and analyzing microbiome data. Kathryn received her Master’s in Bioinformatics from the University of Michigan and worked in Pat Schloss’ lab on projects in microbial ecology, clostridium difficile, and colorectal cancer.
In her free time, Kathryn enjoys playing and watching hockey, traveling, and scuba diving.
Lauren is part of the Automation & Process Engineering team. She helps develop and implement lab processes, oversees the purchasing and inventory management of lab supplies, and manages shipping and receiving.
After obtaining her B.S. in Pharmaceutical Chemistry from UC Davis, Lauren decided to explore the operations side of science and worked at Calico Life Sciences, an Alphabet company, as a member of the lab operations team.
In her spare time, Lauren enjoys doing puzzles, playing volleyball, baking, and spending time with her border collie who doesn’t know what sleep is.
Magdalena is a Full Stack Engineer, working with other engineers and scientists to build software supporting machine learning pipelines and experiments.
In the past, she worked as a software engineer and data scientist. Magda received her BS and MS in Computer Science at AGH University of Technology in Cracow, Poland.
In her spare time, she enjoys playing games of many kinds (from pen & paper RPGs to newest titles for computers and consoles), cooking and doing good things for the environment.
VP of Data Engineering
As VP of Data Engineering, Matt is responsible for leading the development of data pipelines, data storage systems, provenance tracking, and engineering infrastructure to support the high-throughput biology and Machine Learning teams at insitro.
Previously, as VP of Engineering for Myriad Genetics, Matt led engineering teams focused on software automation and genomic data pipelines to make high complexity genetic testing routine in clinical practice. During his time at Counsyl, Matt developed and scaled the software behind several successful prenatal genetic testing products.
Matt holds a Ph.D in Computer Science from MIT, where he developed efficient bioinformatic algorithms with applications in evolutionary genomics and population genetics.
In his spare time, Matt enjoys running, drawing, programming for fun and playing with his kids.
Robin is passionate about working at the interface of biological and computational problems. She studied Bioinformatics as an undergraduate at UC San Diego, and recently completed her doctorate in Biophysics from Stanford, where she was a NSF and NVIDIA Fellow. Her PhD work focused on molecular dynamics simulation of protein-ligand binding, integrating computational methods development with interesting discoveries about specific proteins and drugs. During the course of her research, Robin worked on parallel algorithms, online analysis of large datasets, visualization methods, and contributed to the development of multiple related software packages, including AMBER and VMD.
In her free time, Robin likes to race bicycles, contribute to open source software, and scuba dive.
Santiago is passionate about developing computational methods to enable science. He holds a Doctorate degree in Computational Mathematical Engineering from Stanford University, where he worked with Michael Saunders and Yinyu Ye. His PhD work focused on extending interior-point methods to efficiently solve new convex problems, and was awarded the Gene Golub dissertation award for his innovations.
Before joining Insitro Santiago was a senior machine learning researcher at Apple Inc. Where, amongst other things, worked on methods to accelerate DNN training.
In his free time Santiago enjoys spending time with his family, running, trying out different cuisines and flying around in a small plane.
Sheetal’s work at insitro blends project and product management to support cross-functional projects spanning internal technology development and therapeutic discovery.
Before joining insitro, Sheetal helped other early stage companies deliver on their scientific projects and scale operations for industrial biotech and health tech applications. Sheetal did her postdoctoral work at the Wyss Institute for Biologically Inspired Engineering and received her PhD from Boston University in Biomedical Engineering where she studied how bacteria adapt to stress. Upon leaving academia, Sheetal was motivated to apply her experimental and computational learnings to analyze industrially relevant dynamic and high-throughput data sets to garner novel biological insights.
In her spare time, Sheetal is actively interested in scientific engagements for non-scientific audiences and also enjoys consuming as much pizza as possible.
Tom Stocky, VP, Product
Tom Stocky, VP, Product
As VP of Product, Tom is responsible for product strategy, planning, and user experience for our data systems and software tools.
Previously, Tom was a technology fellow at Denali Therapeutics, where he helped expand the use of machine learning techniques to support their discovery work, and helped further develop their digital strategy for engaging with patients.
Tom has built technology products for more than 15 years. As VP of Search at Facebook, he grew the service to more than 2 billion searches per day across the community’s more than 3 trillion posts. He also led teams responsible for profile, entity graph, and language technology. At Google, he helped start the developer products team and was part of the founding team for Google App Engine, which laid the foundation for Google’s Cloud Platform. He later led teams working on Google search, commerce, and travel products. As Head of Learning Platform at the Chan Zuckerberg Initiative, he oversaw the engineering, product, and design teams for their education technology efforts.
In addition to his work at insitro, Tom serves on the board of directors for the Banner Alzheimer’s Foundation and on the scientific advisory board for Denali Therapeutics. He holds an MEng and BS in Computer Science & Electrical Engineering from MIT and an MBA from MIT Sloan.
In his free time, Tom enjoys puzzle/escape rooms, anything baseball or softball, and going on adventures with his family.