IRB Faculty
The Medical &
Scientific Research Directorate
Dr. Lawrence Asamoah Adutwum
PhD
Lecturer- Department of Pharmaceutical Chemistry, University of Ghana School of Pharmacy
ladutwum@ug.edu.gh | +233-244-777061 |
Education
- Bachelor of Pharmacy, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana (2005)
- Master of Pharmaceutical Sciences, Nagasaki University, Nagasaki, Japan (2009)
- Doctor of Philosophy (Chemistry), University of Alberta, Edmonton, Canada (2017)
- Post Doctoral Fellowship, University of Alberta, Edmonton, Canada (2017 – date)
Board Certifications
- Pharmacist
- etc.
Research Interest
My research interests focus on machine learning guided drug and food quality control, material discovery and drug repurposing.
Current projects
1. Development of simple tools for quality assessment of food
2. Machine Learning Guided Material Discovery for Energy Application
3. Machine Learning guided drug repurposing.
4. Discovering new combinations of medicinal plans for neglected diseases
Selected Publications
1. Gzyl, A. S., Oliynyk, A. O., Adutwum, L. A., & Mar, A. (2019). Solving the Coloring Problem in Half-Heusler Structures: Machine-Learning Predictions and Experimental Validation, Inorg. Chem, 58(14), 9280-9289. https://pubs.acs.org/doi/abs/10.1021/acs.inorgchem.9b00987
2. Cao B., Adutwum L. A., Oliynyk, A. O., Luber E. J., Olsen B. C., Mar A., Buriak J. M. (2018). How to Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics, ACS Nano, 12(8), 7434-7444. https://pubs.acs.org/doi/10.1021/acsnano.8b04726
3. Adutwum L. A., Abel J. R., Harynuk J. J. (2017). Total Ion Spectra versus Segmented Total Ion Spectra as Preprocessing Tools for Gas Chromatography - Mass Spectrometry Data. J. Forensic Sci., 63(4), 1059-1068. http://onlinelibrary.wiley.com/doi/10.1111/15564029.13657/full
4. Oliynyk A. O., Adutwum L. A., Rudyk B., Pisavadia H., Lotfi S., Hlukhyy V, Harynuk J. J., Mar A., Brgoch J. (2017). Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC. J. Am. Chem. Soc., 139(49), 17870-17881. http://pubs.acs.org/doi/pdf/10.1021/jacs.7b08460
5. Adutwum L. A., A. de la Mata P., Bean H., Hill J., Harynuk J. J. (2017). Estimation of start and stop numbers for cluster resolution feature selection algorithm; an empirical approach using null distribution analysis of fisher ratios. Anal. Bioanal. Chem., 409(28), 6699-6708.
http://dx.doi.org/10.1007/s00216-017-0628-8
6. Lopatka M, Sampat A. A., Jonkers S., Adutwum L. A., Mol H. G. J., der Weg G., Harynuk J. J., Shoenmakers P. J., van Asten A., Sjerps M. J., Vivo-Truyols G. (2017). Local Ion Signature (LIS) for comparison of comprehensive two-dimensional gas chromatography applied to fire debris analysis. Forensic Chem. 3, 1-13. http://dx.doi.org/10.1016/j.forc.2016.10.003
7. Oliynyk A. O., Adutwum L. A., Harynuk J. J., Mar A. (2016). Classifying crystal structures of binary compounds AB through cluster resolution feature selection and support vector machine analysis. Chem. Mater., 28(18), 6672-6681. http://dx.doi.org/10.1021/acs.chemmater.6b02905
8. Adutwum L. A., Harynuk J. J. (2014). Unique ion filter; a strategy for GC-MS data processing prior to chemometric analysis. Anal. Chem., 86(15), 7726-7733. http://dx.doi.org/10.1021/ac501660a
9. Adutwum L. A., Kishikawa N., Ohyama, K., Harada S., Nakashima K., Kuroda N. (2010). Peroxyoxalate chemiluminescence detection for the highly sensitive determination of fluorescence labeled chlorpheniramine with Suzuki coupling reaction. Anal. Bioanal. Chem., 398(2), 823-829. http://dx.doi.org/10.1007/s00216-010-3932-0