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Akash Ramdas

Akash Ramdas

Materials scientist focused on computational materials discovery

akash-ramdas
Stanford, California, USA
Joined March 2026

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Summary

Computational materials discovery and modelling: Akash's research centers on using theory, machine learning, and computational methods to accelerate materials discovery, including Bayesian-driven search strategies and machine-learned models to predict interfacial reactivity—work published in venues such as npj Computational Materials and ACS Applied Materials & Interfaces. nature+1
Applied nanoelectronics and interconnect materials: He has contributed to research demonstrating novel ultrathin conductors (niobium phosphide) and multi-objective optimization for interconnect metals, indicating a focus on materials solutions for nanoscale electronics and semiconductor interconnect challenges. science+1
Academic productivity and collaboration: Affiliated with Stanford University's Department of Materials Science and Engineering as a PhD student and postdoctoral researcher, Akash is a co-author on multiple peer-reviewed publications and maintains scholar profiles and an ORCID iD documenting his research output. google+2
Product management, mentorship, and community engagement: Beyond research, Akash has held product-supply and program management roles, contributed to a product-management interview guide, and held mentorship and event coordination roles during his time at IIT Madras, showing engagement with product management and student communities. me+2
Open-source and entrepreneurship orientation: Maintains a public code profile and is associated with founding an AI-driven materials startup (matforge), indicating an interest in translating research into software tools and commercial ventures. github+1

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Enjoys scrolling Netflix to find new shows to watch. stanford