We are scientists.
We are engineers.
We are drug hunters. We are insitro.

Alexis Ewer

Alice Chin

Amanda Chau

Amien Alazzeh

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.

Arnab Banik

Bay Johnson

Ben Miller, VP, Automation

Blake Simmermon

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 Hartley

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

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 Klein

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 Conegliano

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 Naegely

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 Chee

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.

Elaine Lam

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 Krauel

James Warren

John Bisognano

Joseph Marrama

Kathryn Iverson

Kevin Ford

Lori Siao-Bulacan

Magdalena Holewa

Matthew Rasmussen, 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.

Mukund Hari

Robin Betz

Sahil Malpotra

Santiago Akle

Stanley Leung, Associate Director