Publications & Media
Peer-reviewed research across biomaterials, soft robotics, and translational medical technology.
Media
Coverage, demos, and recordings related to my work.
Publications
Selected peer-reviewed papers and preprints.
- First authorVolumetric 3D Printing and Melt-Electrowriting to Fabricate Implantable Reinforced Cardiac Tissue PatchesAdvanced Materials · 2025
- First authorVolumetric 3D Printing and Melt-Electrowriting to Fabricate Implantable Reinforced Cardiac Tissue PatchesbioRxiv · 2025
- First authorMultidirectional Filamented Light Biofabrication Creates Aligned and Contractile Cardiac TissuesAdvanced Science · 2024
- An Overview of Soft RoboticsAnnual Review of Control, Robotics, and Autonomous Systems · 2023
- First authorIncreased Longevity and Pumping Performance of an Injection Molded Soft Total Artificial HeartSoft Robotics · 2021
- Protection Level and Reusability of a Modified Full-Face Snorkel Mask as Alternative Personal Protective Equipment for Healthcare Workers during the COVID-19 PandemicChemical Research in Toxicology · 2021
- Growing and Shaping Metal–Organic Framework Single Crystals at the Millimeter ScaleJournal of the American Chemical Society · 2020
- Protection Level and Reusability of a Modified Full-Face Snorkel Mask as Alternative Personal Protective Equipment for Healthcare Workers During the COVID-19 PandemicmedRxiv · 2020
- First authorMachine Learning to Design Cancer Vaccine AdjuvantsMSc Thesis — ETH Zurich / MIT · 2019
Patents
Intellectual property related to your work.
Patent
Poly(Beta-Thioester) Polymers and Polymeric Nanoparticles
MIT Technology Licensing Office · 2021
Polymeric nanoparticles and poly(beta-thioester) compositions for immunomodulation, co-invented during the MIT Traverso/Langer Lab research stay.
Dissertations
Doctoral Thesis
Tissue Engineering and Soft Robotics for Heart Repair and Replacement
A multi-tiered approach combining mechanical circulatory support with biofabricated cardiac tissues for heart repair and regeneration.
Master Thesis
Machine Learning for the Design of Cancer Vaccine Adjuvants
Using QSPR / ML-guided polymer screening to design immunomodulatory cancer vaccine adjuvants.





