Singapore
1K followers 500+ connections

Join to view profile

About

Lifelong learner who loves to analyse and model data for actionable insights. Quickly…

Experience & Education

View Adelene’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Licenses & Certifications

Projects

  • Dynamical traps in Wang-Landau sampling of continuous systems

    - Monte Carlo simulation using the Wang-Landau algorithm to explore density of states of peptide conformations
    - Explored the causes for dynamical traps that lead to inefficient sampling
    - Proposed inter-swapping multiple parallel Wang-Landau trajectories to avoid trapping
    [Koh Y.W., Sim A.Y.L., Lee H.K., Dynamical traps in Wang-Landau sampling of continuous systems: Mechanism and solution, Phys. Rev. E, 92, 773 (2015)]

  • Effect of hydrocarbon staple on peptide hydrophobicity

    - Time series analysis of molecular simulation data to determine extent of molecular dewetting phenomena
    - Visualization of high-dimensional simulation data
    - Clustering of molecular simulation snapshots to distinguish extent of dewetting
    - Explored the role of hydration on peptide binding kinetics
    [Sim A.Y.L., Verma C.S., How does a hydrocarbon staple affect peptide hydrophobicity?, J. Comput. Chem., 36, 773 (2015)]

  • Hierarchical Natural Moves Monte Carlo for modeling nucleic acid conformation effectively

    - Developed a method to efficiently explore nucleic acid conformation space by reducing sampling degrees of freedom (DoFs) while preserving all-atom representation
    - This reduction in DoFs was inspired by the (generally) hierarchical nature of RNA folding
    - Method scales well with nucleic acid size, and can be adopted to study and design nucleic acid nanostructures
    [Sim A.Y.L., Levitt M., Minary P., Modeling and design by hierarchical natural moves, Proc. Nat. Acad. Sci. USA, 109…

    - Developed a method to efficiently explore nucleic acid conformation space by reducing sampling degrees of freedom (DoFs) while preserving all-atom representation
    - This reduction in DoFs was inspired by the (generally) hierarchical nature of RNA folding
    - Method scales well with nucleic acid size, and can be adopted to study and design nucleic acid nanostructures
    [Sim A.Y.L., Levitt M., Minary P., Modeling and design by hierarchical natural moves, Proc. Nat. Acad. Sci. USA, 109, 2890 (2012)]

  • Nucleic acid electrostatics

    - Computational and experimental probing of the effect of ionic conditions on nucleic acid conformation, flexibility, folding and ligand binding
    - Computational methods include molecular dynamics, molecular modeling and electrostatics calculations (using non-linear Poisson-Boltzmann equation)
    - Experimental methods include small-angle x-ray scattering and hydroxyl radical footprinting
    [Anthony P.C., Sim A.Y.L., Chu V.B., Doniach S., Block S.M., Herschlag D., Electrostatics of nucleic…

    - Computational and experimental probing of the effect of ionic conditions on nucleic acid conformation, flexibility, folding and ligand binding
    - Computational methods include molecular dynamics, molecular modeling and electrostatics calculations (using non-linear Poisson-Boltzmann equation)
    - Experimental methods include small-angle x-ray scattering and hydroxyl radical footprinting
    [Anthony P.C., Sim A.Y.L., Chu V.B., Doniach S., Block S.M., Herschlag D., Electrostatics of nucleic acid folding under conformational constraint, J. Am. Chem. Soc., 134, 4607 (2012); Lipfert J.*, Sim A.Y.L.*, Herschlag D., Doniach S., Dissecting electrostatics screening, specific ion binding, and ligand binding in an energetic model for glycine riboswitch folding, RNA, 16, 708 (2010)]

  • RNA conformational clustering

    - Developed a procedure to cluster RNA conformations constrained by secondary structure
    - Density-based clustering leverages on the stochastic nature of k-means clustering
    - Clustering feature engineering involved dimension reduction using internal coordinate projection
    [Sim A.Y.L., Levitt M., Clustering to identify RNA conformations constrained by
    secondary structure, Proc. Nat. Acad. Sci. USA, 108, 3590 (2011)]

  • Towards autonomous assessment: insights into objective evaluation of student online class engagement

    -

    - Studied patterns of student class participation based on gender and age
    - Used various data mining techniques and statistical tests
    - Developed a classifier based on pre-trained word vectors to assess quality of student participation
    (Paper submitted)

Honors & Awards

  • Best Mentor Award

    A*STAR Graduate Academy

    For mentoring a high school vacation internship student

  • A*STAR Career Development Award

    A*STAR Joint Council Office

    Targeting riboswitches to combat drug-resistant bacteria

  • National Science Scholarship (BS-PhD)

    Agency of Science Technology and Research (A*STAR), Singapore

    Fully funded undergraduate and graduate studies

Languages

  • English

    Native or bilingual proficiency

  • Chinese (Mandarin)

    Native or bilingual proficiency

  • Japanese

    Elementary proficiency

Websites

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

View Adelene’s full profile

  • See who you know in common
  • Get introduced
  • Contact Adelene directly
Join to view full profile