I am a Data scientist with focus on text analytics. I work at a reinsurance company because I love the
breath of topics I am exposed to here.
Get in touch: info [AT] manuel-doemer.ch
What I love about my job is the diversity of thought and technical expertise around me: on the same day I might
work with credit risk analysts, software architects, casualty underwriters and have lunch with a colleague
from asset management.
You can see this also reflected in my path within the company: I started off in 2015 as a corporate actuary
developing costing models for the economic loadings in reinsurance premiums. Over time and with new projects
coming my way I became more and more focused on text analytics. In 2017 I eventually made the move into a
data science position. The opportunity to persue a career in line with my passions is extremely valuable to me.
During my time in Costing Methods and Analytical Services I worked on the following topics:
Development of a US GAAP costing model for P&C business
P&C costing models based on Swiss Re's Economic Value Management framework: specifying, prototyping,
coordinating the productive implementation and testing
Ad hoc Actuarial Analyses
Underwriting support in the property treaty Iberia unit
Development of a Sharia compliant surety product
Text is the ubiquitous form of storing information in the insurance industry. Therefore, my current focus on
text analytics fits very well with the company's effort to create value out of the vast amount of unstructured
My main projects could be labelled as process automation problems, which involve
In my department data scientists drive solutions end-to-end - we also bring successful prototypes in production.
Obviously, we have help from infrastructure and architecture teams, but containerisation continuous integration and deployment
to cloud platforms are part of our job.
Fortran - during my days in numerical simulations
During my PhD in computational chemistry at the École Polytechnique Fédérale de Lausanne (EPFL) I worked on the
Low energy structure of small biomolecules in the gas phase
A collaboration with the group of Thomas Rizzo (EPFL), who recorded conformer-specific vibrational spectra of
small protonated biomolecules in the gas phase at low temperature. Employing a combination of computational
methods we determined the molecular structures giving rise to the experimental spectra.
Furthermore, we used the high-resolution experimental benchmark data to asses various computational methods
to predict the correct relative energetics of low energy structures.
Structures of Bare and Microsolvated Protonated Tryptophan determined by Cold-Ion Spectroscopy and
Quantum Chemistry, (to be submitted)
Photodynamics of Lys+-Trp Protein Motifs: Hydrogen Bonds Ensure Photostability,
vol. 163, p. 189, 2013.
Assessing the performance of computational methods for the prediction of the ground state structure of a cyclic decapeptide,
Int. J. Quantum Chem., vol. 113, p. 808,
Cold Ion Spectroscopy Reveals the Intrinsic Structure of a Decapeptide,
Angew. Chem. Int. Ed., vol. 50, p. 5383,
Deriving improved classical force field parameters by QM/MM force matching
With the goal to increase the accuracy of classical molecular mechanics force fields we implemented the recently
developed force-matching protocol for an automated parametrisation of biomolecular force fields from mixed
quantum mechanics/molecular mechanics (QM/MM) reference calculations in the
CPMD software package. Such a
force field has an accuracy that is comparable to the QM/MM reference, but at the greatly reduced computational
cost of the MM approach. We have applied this protocol to derive in situ FF parameters for the retinal chromophore
in rhodopsin embedded in a lipid bilayer.
See the QM/MM force matching page at
lcbc.epfl.ch – Research – QM/MM force matching
Generalized QM/MM Force Matching Approach Applied to the 11-cis Protonated Schiff Base Chromophore of
Rhodopsin, J. Chem. Theory Comput., vol. 10, p. 412,
Parameterisation of repulsive potentials for the self-consistent charge density functional tight-binding
We employed iterative Boltzmann inversion to derive repulsive potentials for SCC-DFTB. We used reference data
at the DFT/PBE level to derive highly accurate parameters for liquid water at ambient conditions,
a particularly challenging case for conventional SCC- DFTB. The newly determined parameters significantly
improved the structural and dynamical properties of liquid water at the SCC-DFTB level.
In Situ Parameterization of SCC-DFTB Repulsive Potentials by Iterative Boltzmann Inversion,
Mol. Phys., vol. 111, p. 3595, 2013. doi:
Dispersion-corrected atom-centered potentials (DCACPs) for the halogens
DCACPs are a recently developed method to cure the failure of DFT methods within the generalised gradient
approximation to describe dispersion interactions. We complemented the existing library of DCACP parameters
by the halogens and compared the performance of various dispersion corrected DFT methods in reproducing
high-level benchmark calculations on weakly bound prototype complexes involving halogen atoms.
See the DCACP page at lcbc.epfl.ch – Research - DCACPs
Intricacies of Describing Weak Interactions involving Halogen Atoms within Density Functional Theory,
J. Chem. Theory Comput., vol. 9, p. 955,
Solvent rearrangements during the transition from hydrophilic to hydrophobic solvation,
Chem. Phys., vol. 410, p. 25,
During my master’s thesis (2008) I worked on
molecular dynamics simulations in electronic excited states, under the supervision of Kim Baldridge
(Zürich University) and Daniele Passerone at the federal institute for material science (EMPA):
A Force Field Approach to Photochemical cis-trans Isomerization.