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Welcome to the Miranda Quintana Group

We are a theoretical chemistry group, that is, we use math, physics, and computers to solve chemical problems. Our lab has three main research directions: We develop and implement new methods to study the electronic structure of complex compounds and materials (the “quantum project”). We work on similarity-based approaches to explore chemical space, design new drugs, and dissect Molecular Dynamics simulations (the “Machine Learning branch”). We study how charge and spin transfer dictate chemical reactions and chemistry in solution (the “chemical project”).

Openings

PhD students:

We are looking for prospective graduate students to join our group starting the Fall 2025 term. Main projects include method development for drug design, ML, and molecular dynamics simulations. Candidates with a strong, proven, coding background (specially in C++) are ideal for this position. Please, apply through: https://www.chem.ufl.edu/graduate/
Preferred deadline: December 1st; Final deadline: December 15

Undergraduate students:

We are often looking for motivated undergraduate students to work on coding-related projects. If you like programming, algorithm design, and ML, contact Ramon directly.

Postdocs:

We don’t have postdoc funding available at this moment. If you are considering joining our lab and know of some funding sources/fellowships/awards that could fund your stay at UF, please reach out to Ramon.

 

Computational chemistry space at UF (thanks to the Perez’s Lab for the video!)

 

NEWS

  • 10/14 Akash joins the group to work on ML and chemical space. Welcome, Akash!
  • 10/14 Jherome joins the group to work on MD simulations and clustering. Welcome, Jherome!
  • 09/24 Congrats to Krisztina for winning the Early Career in Physical Chemistry award!
  • 08/24 Congrats to Lexin on being awarded one of the Best Talk awards at the MDAnalysis meeting in London!
  • 07/24 Congrats to Pratiksha on being selected to participate in the 2024 Lindau Nobel meeting!
  • 03/24 Congrats to Ramon on winning a Cadence Molecular Sciences Outstanding Junior Faculty Award in Computational Chemistry!
  • 03/24 Congrats to Lexin on winning a Penny J. Gilmer grant!
  • 09/23 Thanks to NIH and NIGMS for funding our R35 (MIRA) to develop hyper-efficient similarity-based tools to study similarity in drug design, MD, and beyond!
  • 08/23 Krisztina joins the group to work on PT, ML, and new wavefunctions. Welcome, Krisztina!
  • 01/2023   Lexin Chen joins the group and takes the lead on MD analysis and new clustering methods. Welcome, Lexin!
  • 11/2022    Kenneth Lopez joins the group to work on chemical space exploration methods, ML, and drug design. Pura Vida!
  • 11/2021    Rugwed Lokhande joins the group as our 3rd graduate student! Rugwed will be working on new wavefunctions to study strong correlation, along with novel perturbation theory frameworks. Good luck!
  • 11/2021    Tim Dunn’s first first-author paper with the group is out! Great collaboration with Jose Luis Medina Franco , Chenglong Li, and Gustavo Seabra on new chemical diversity measures using extended similarity.
  • 10/2021    How do specific ionic interactions stabilize or destabilize proteins in solution? We approached this problem from the point of view of the electronic properties of co-solutes in our last paper.
  • 09/2021    Is the hard/soft acid/base principle valid even if we consider more realistic charge transfer models? We showed that this is indeed the case in our latest contribution.
  • 06/2021    A new extension to our n-ary similarity indices was just published: the (t, n) indices allow comparing strings of categorical variables. Check the theory and application to DNA and protein sequences.
  • 06/2021    Perspective on ML classification applications in drug safety is out.
  • 05/2021    More on our collaboration with Jens Smiatek: how to optimize Lithium Ion Batteries?
  • 04/2021    Our papers on extended comparative indices are out (mathematical and application details)
  • 04/2021    New framework to study the equivalency between similarity indices.
  • 04/2021    Taewon (David) Kim joins the group as a postdoc. David will be working on new ways to add dynamic correlation to flexible wavefunction methods and on novel embedding techniques.
  • 03/2021    Pratiksha Gaikwad joins the group as a Ph.D. student (working on electronic structure methods)
  • 02/2021    The first pre-prints on our work on new electronic structure methods are out (theory and implementation details)
  • 01/2021    Tim Dunn joins the group as our first Ph.D. student (working on new similarity indices).
  • 01/2021    Our paper on more realistic charge transfer models is out.
  • 10/2020    Predicting Donor Numbers using simple perturbative models.
  • 10/2020    Our paper on Machine Learning and solvation processes is out.
  • 09/2020    Our first paper at UF was accepted in CPC, starting a great collaboration with Jens Smiatek.
  • 02/2020    Ramon joins the Department of Chemistry at UF.

SOCIAL MEDIA

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