Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Synthetic biology, Competition (biology), Computational biology, Biology, and Resource (disambiguation).
Machine learning for synthetic gene circuit engineering
Analog epigenetic memory revealed by targeted chromatin editing
Multi-variable control to mitigate loads in CRISPRa networks
Synthetic genetic circuits to uncover the OCT4 trajectories of successful reprogramming of human fibroblasts
Identifiability of Chemical Reaction Networks with Intrinsic and Extrinsic Noise from Stationary Distributions
Robust Model Invalidation for Chemical Reaction Networks Using Generalized Moments
Epigenetic cell memory: The gene’s inner chromatin modification circuit
Robust and tunable signal processing in mammalian cells via engineered covalent modification cycles
Feedforward growth rate control mitigates gene activation burden
Emergent interactions due to resource competition in CRISPR-mediated genetic activation circuits
Identifiability of linear noise approximation models of chemical reaction networks from stationary distributions
Design of a long-term memory genetic toggle switch inspired by chromatin modification circuits
Context-aware synthetic biology by controller design: Engineering the mammalian cell
dCas9 regulator to neutralize competition in CRISPRi circuits
Design of genetic circuits that are robust to resource competition
Robustness of Networked Systems to Unintended Interactions With Application to Engineered Genetic Circuits
Feedforward ribosome control mitigates gene activation burden
Predicting Composition of Genetic Circuits with Resource Competition: Demand and Sensitivity
Identifiability of Chemical Reaction Networks with Intrinsic and Extrinsic Noise from Stationary Distributions
An endoribonuclease-based feedforward controller for decoupling resource-limited genetic modules in mammalian cells
The Enhanced Finite State Projection algorithm, using conditional moment closure and time-scale separation
Modular Analysis and Design of Biological Circuits
Genetic Circuit-Host Ribosome Transactions: Diffusion-Reaction Model
A quasi-integral controller for adaptation of genetic modules to variable ribosome demand
Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?
Future systems and control research in synthetic biology
A Model for Resource Competition in CRISPR-Mediated Gene Repression
A Model for Resource Competition in CRISPR-Mediated Gene Repression
DSpace@MIT (Massachusetts Institute of Technology) 2018cited by 13position: last
Multi-time-scale biomolecular ‘quasi-integral’ controllers for set-point regulation and trajectory tracking
Resource Competition Shapes the Response of Genetic Circuits