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Saurabh Malani

Saurabh Malani

  • Co-founder and CTO, Fermeate
  • Activate Fellow, Cyclotron Road at Berkeley Lab

Scientist, engineer, and builder.

San Francisco Bay Area

About

I grew up in Singapore, studied chemical engineering at UC Berkeley, and earned my PhD at Princeton, where the science behind Fermeate was born.

Since June 2026 I have also been an Activate Fellow and Cyclotron Road Entrepreneurial Fellow at Lawrence Berkeley National Laboratory, a two-year fellowship for science entrepreneurs.

I've spent my career chasing hard problems across chemistry, biology, computation, and hardware. When a problem needs a skill I don't have yet, I go learn it.

What I'm building

Fermeate

Fermeate is an industrial biotech company using light to reprogram biology. By controlling living cells with light, we raise the yield and lower the cost of biomanufacturing and bio-based products. The technology spun out of my PhD research at Princeton.

As co-founder and CTO, I lead a team of seven across light-responsive strain engineering, light-delivery hardware for bioreactors, and model-based process control. We have raised $2M to date, plus non-dilutive funding from DARPA and the ReFED Catalytic Grant Fund.

Backed by SOSV SF (formerly IndieBio), Newfund, Ajinomoto Group Ventures, Ki Tua Fund, Heuristic Capital, Momentum Capital, Plug and Play, Tesserakt Ventures, Gener8tor, and BEAM Circular.

fermeate.com →

The range

If it's a hard technical problem, I'll learn it and build it.

  1. Singapore Where I'm from. A*STAR National Science Scholar (BS-PhD), with research at three A*STAR institutes spanning drug discovery, catalysis, and bioprocess engineering.
  2. UC Berkeley 2018 BS in Chemical Engineering, Highest Honors.
  3. Princeton 2024 PhD in Chemical and Biological Engineering. The research that became Fermeate.
  4. Fermeate 2024 to now Co-founder and CTO. Building it from the science up.
  5. Berkeley Lab 2026 to now Activate Fellow and Cyclotron Road Entrepreneurial Fellow.

Building a company

Taking the science from the lab to the market.

  • Fundraising and investor relations
  • Customer development and partnerships
  • Technoeconomic modeling and unit economics
  • Turning research into IP and product

Cells and bioengineering

Programming what cells make, and how much.

  • Strain engineering
  • Optogenetics
  • Fermentation and bioprocess development
  • Enzyme engineering and optimization

Computation

Building with AI and learning from data.

  • Machine learning models of cells and bioreactors, trained on sparse lab data
  • Writing production software with AI coding agents, from data pipelines to web and desktop apps
  • Physics-informed machine learning and system identification
  • Computational fluid dynamics and reactor modeling
  • Mathematical modeling of dynamical systems

Hardware and hands-on

If the science needs a machine, I build it.

  • Custom electronics and PCB design
  • Welding, soldering, and fabrication
  • Building lab and pilot hardware from scratch

Publications

  1. 2026

    K. Xu*, A. Giannakopoulou*, V. Jiang*, S. Malani, M. T. Walls, C. P. Brangwynne, J. L. Avalos

    Enhanced GPP synthesis by Erg20p-peptide fusions and biomolecular condensates boosts monoterpene production in yeast

    bioRxiv Submitted *Co-first authors

  2. 2024

    T. Kichuk, S. Dhamankar, S. Malani, W. A. Hofstadter, S. A. Wegner, I. M. Cristea, J. L. Avalos

    Using MitER for 3D analysis of mitochondrial morphology and ER contacts

    Cell Reports Methods 4(1), 100692

  3. 2023

    W. Benman, S. Datta, D. Gonzalez-Martinez, …, S. Malani, …, L. J. Bugaj

    High-throughput feedback-enabled optogenetic stimulation and spectroscopy in microwell plates

    Communications Biology 6, 1192

  4. 2023

    S. Malani, T. Bertalan, T. Cui, J. L. Avalos, M. Betenbaugh, I. G. Kevrekidis

    Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information

    Computers & Chemical Engineering 178, 108343

  5. 2021

    F. P. Kemeth, T. Bertalan, N. Evangelou, T. Cui, S. Malani, I. G. Kevrekidis

    Initializing LSTM internal states via manifold learning

    Chaos: An Interdisciplinary Journal of Nonlinear Science 31(9), 093111

  6. 2019

    Gurudayal, D. Perone, S. Malani, Y. Lum, S. Haussener, J. W. Ager

    Sequential cascade electrocatalytic conversion of carbon dioxide to C–C coupled products

    ACS Applied Energy Materials 2(6), 4551-4559

All publications on Google Scholar →

Background

Education
2024 Princeton University PhD, Chemical and Biological Engineering
2021 Princeton University MA, Chemical and Biological Engineering
2018 UC Berkeley BS, Chemical Engineering, Highest Honors
Talks and posters
2026 Bioeconomy: Capital, Community and Connections SF Climate Week Panelist
2024 Closed-loop control of microbial population ratio in optogenetically controlled yeast-yeast consortia U.S. DOE Genomic Science Program Annual PI Meeting Poster
2023 Some of the variables, some of the times, with some things known: Identification with partial information Machine Learning and Dynamical Systems Seminar, The Alan Turing Institute Invited talk
2023 Optogenetic control of a yeast-yeast consortium for chemical production U.S. DOE Genomic Science Program Annual PI Meeting Poster
2022 Some of the variables, some of the times, with some things known: Identification with partial information AIChE Annual Meeting Talk
2022 Optogenetic strategies for the control and optimization of microbial consortia 3rd Optogenetic Technologies and Applications Conference Talk
2021 Initializing the internal states of LSTM neural networks via manifold learning AIChE Annual Meeting Talk

Connect

Let's talk.

The best ways to reach me and find me elsewhere.

© 2026 Saurabh Malani