Curriculum Vitae

Research Interests

  • Quantitative biomedical imaging methods for clinical diagnosis and intervention
  • Development of biomedical sensors that integrate with electro-mechanical systems and closed-loop interventions
  • Development of innovative clinical infrastructures (software and hardware) for improving healthcare in resource-limited contexts

Employment History

2017-2019
UCSF Department of Radiology & UCSF Department of Radiation Oncology
San Francisco, CA
Associate Specialist
  • Developed quantitative imaging protocols for evaluating biomimetic materials for imaging phantoms
  • Developed biomimetic materials for imaging phantoms
  • Prototyped imaging phantoms using 3D printing and other rapid manufacturing and fabrication technologies
  • Developed imaging protocols that implement physics models of quantitative MR and X-ray CT
  • Developed physical measurement protocols for ground truth validation of physics models
  • Performed imaging and analyzed quantitative imaging and physical measurement data of animal tissues to investigate physics models
2014-2017
UCSF Department of Neurological Surgery, Edward Chang Laboratory
San Francisco, CA
Associate Specialist (Research Infrastructure Engineer)
  • Designed, implemented, and iterated upon a web-framework and database for storing electrophysiology recording-related metadata
  • Built an application utilizing a proprietary SDK for converting electrophysiology data from the clinical recording format to an open format for research analysis and sharing with investigative colllaborators
  • Built customized, integrated hardware and software solutions bridging clinical and research technologies to support various neuroscientific and biomedical investigations and interventional experiements
  • Built systems to integrate various sensors for multi-dimensional, multi-scale pattern analysis of neural correlates of natural behaviour
2014
Berkeley Unified School District, IT Department
Berkeley, CA
Computer Technician
  • Performed software installation and system administration duties on new computers across the district
  • Maintained and supported workstations and printers at various school sites
  • Installed and configured wireless access points across the district
  • Supervised reconfiguration of Chromebooks; organized and assembled Chromebook charging/storage carts for all schools in the district
2013-2014
International Rescue Committee, Wellness Center
Oakland, CA
Interpreter
  • Worked as a Tamil Interpreter for the Center for Wellbeing
  • Used my proficiency with the Sri Lankan Tamil dialect to help bridge the cultural and communication gap for Tamil refugees who fled the civil war in Sri Lanka
  • Regularly interpreted during mental health screenings and subsequent therapy appointments
  • Interpreted for legal representative in meetings with one family seeking financial assistance and political asylum
2009-2012
NIH/NIMH, Clinical Brain Disorders Branch, Unit on Multimodal Imaging Genetics
Bethesda, MD
Scientific Data Analysis Contractor (2011-2012)
Post-baccalaureate IRTA Fellow (2009-2011)
  • Collected MR Spectroscopy, Diffusion Imaging, and Quantitative MR Images twice weekly for the NIMH Sibling Study of Schizophrenia
  • Analysed Diffusion Imaging data for individuals with "short" genetic deletions in the Williams Syndrome Critical Region (7q11.23)
  • Analysed levels of GABA and Glutamate in individuals with differing genotypes for a number of single nucleotide polymorphisms linked to schizophrenia
  • Automated and optimized data acquisition, processing, and analysis pipelines
  • Assisted MR physicists with sequence development, quantification, and quality control
2008-2009
UCSF Department of Radiology, Biomedical Image Computing Group
San Francisco, CA
Research Assistant (Fall 2008-2009)
BSBRP Fellow (Summer 2008)
  • Awarded a stipend from the Berkeley Summer Bioengineering Research Program to implement a mathematical approach for determining the thickness of a three-dimensional region and apply it to prenatal and neonatal MR Images
  • Completed development of the software in C++, computed cerebro-cortical thickness from MR Images of fetuses and premature babies by the end of the summer
  • Built additional libraries to generate 3D surfaces and compute various metrics on segmented fetal MR Images
  • Presented preliminary results at the 2009 anual meeting of the Organization for Human Brain Mapping
2007-2008
UC Berkeley School of Optometry, Visual Processing Laboratory
Berkeley, CA
Research Assistant
  • Built stimulus-presentation software for EEG experiments of the human visual system
  • Implemented a psychophysics experiment in Matlab to assess visual perception of digital textures in individuals with amblyopia
  • Refactored, upgraded, and maintained EEG data analysis pipeline

Publications

Journal Articles

  • Chandramohan D, Cao P, Han M, An H, Sunderland JJ, Kinahan PE, Laforest R, Hope TA, Larson PEZ. Bone material analogues for PET/MRI phantoms. Med Phys. 2020 Jun;47(5):2161-2170. doi: 10.1002/mp.14079. Epub 2020 Mar 13. PMID: 32034945; PMCID: PMC7901472.
  • Benjumeda M, Tan YL, González Otárula KA, Chandramohan D, Chang EF, Hall JA, Bielza C, Larrañaga P, Kobayashi E, Knowlton RC. Patient specific prediction of temporal lobe epilepsy surgical outcomes. Epilepsia. 2021 Sep;62(9):2113-2122. doi: 10.1111/epi.17002. Epub 2021 Jul 18. PMID: 34275140.
  • Laforest R, Khalighi M, Natsuaki Y, Rajagopal A, Chandramohan D, Byrd D, An H, Larson P, James SS, Sunderland JJ, Kinahan PE, Hope TA. Harmonization of PET image reconstruction parameters in simultaneous PET/MRI. EJNMMI Phys. 2021 Nov 5;8(1):75. doi: 10.1186/s40658-021-00416-0. PMID: 34739621; PMCID: PMC8571452.
  • Scholey JE, Chandramohan D, Naren T, Liu W, Larson PEZ, Sudhyadhom A. Technical Note: A methodology for improved accuracy in stopping power estimation using MRI and CT. Med Phys. 2021 Jan;48(1):342-353. doi: 10.1002/mp.14555. Epub 2020 Nov 20. PMID: 33107997; PMCID: PMC8717393.
  • Leaston J, Ferris CF, Kulkarni P, Chandramohan D, van de Ven AL, Qiao J, Timms L, Sepulcre J, El Fakhri G, Ma C, Normandin MD, Gharagouzloo C. Neurovascular imaging with QUTE-CE MRI in APOE4 rats reveals early vascular abnormalities. PLoS One. 2021 Aug 27;16(8):e0256749. doi: 10.1371/journal.pone.0256749. PMID: 34449808; PMCID: PMC8396782.

Conference Papers

  • P. A. Habas, K. Kim, D. Chandramohan, F. Rousseau, O. A. Glenn, C. Studholme, Statistical model of laminar structure for atlas-based segmentation of the fetal brain from in utero MR images, Proc. SPIE, vol., pp February 2009.
  • P. A. Habas, K. Kim, D. Chandramohan, F. Rousseau, O. A. Glenn, C. Studholme, A spatio-temporal atlas of the human fetal brain with application to tissue segmentation, in Medical Image Computing and Computer-Assisted Intervention, LNCS, September 2009
  • T. Shin, D. Jue, D. Chandramohan, D. Choi, C. Seng, J. Yang, A. Bae, A. Lee, J. Lee, P. Lim, S. Kazadi, and J. M. Mendel, Reduction of fuzzy systems through open product analysis of genetic algorithm-generated fuzzy rule sets, in Proc. IEEE Int. Conf. Fuzzy Systems, Budapest, Hungary, 2004, vol. 2, pp. 10431048.

Abstracts

  • D. Chandramohan, P. Cao, M. Han, H. An, K. Fowler, K. Stupic, K. Keenan, J. Sunderland, P. Kinahan, R. Laforest, T. Hope, P. Larson, Quantitative imaging of bone material analogues for PET/MRI phantoms, J Nucl Med 2018 59:1783
  • D. Chandramohan, B. Kolachana, D. R. Weinberger, S. Marenco, Three Single Nucleotide Polymorphisms in ALDH5A1 are not Associated with MR Spectroscopic Measurement of GABA in Humans, Society of Biological Psychiatry 67th Annual Scientific Convention & Program, Philadelphia, PA, May 2012.
  • D. Chandramohan, M. Geramita, L. Walker, K. Roe, S. Kippenhan, A. Padmanabhan, P. Kohn, C. Mervis, A. Pani, C. Morris, D. Weinberger, C. Pierpaoli, S. Marenco, K. Berman. Diffusion Imaging of Individuals with Partial Deletions of the Williams Syndrome Critical Region, 17th Annual Meeting of the Organization for Human Brain Mapping, Quebec City, QC, Canada, June 2011.
  • D. Chandramohan, P.A. Habas, K. Kim, O.A. Glenn, A.J. Barkovich, C. Studholme, Cortical Thickness Mapping of the Human Fetal Brain in Utero from Motion-Corrected Clinical MRI: Preliminary Results, 15th Annual Meeting of the Organization for Human Brain Mapping, San Francisco, CA, June 2009.

Skills

Computer Skills

Programming Languages

★ ★ ★ ★ ★
C/C++ 10 years experience; Windows API; scientific libraries; message passing; low level I/O
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Java 10 years experience; threading; message passing; graphical applications
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Python 5 years experience; C/C++ extensions; scientific computing; graphical applications
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Matlab 10 years experience; image processing; MEX extensions; Java extensions; multiphysics simulations; graphical applications
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IDL 3 years experience; image processing
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Shell Scripting 10 years experience; Unix shells: bash, tcsh; Windows batch scripts

Applications

Medical Imaging Software SPM, FSL, AFNI, MIPAV, FreeSurfer, Osirix, AMIDE, custom built image processing applications
Office Software LaTeX, Microsoft Office, Libre Office, G Suite
Server Software LAMP Stack (Apache, MySQL), MediaWiki

Algorithms

Optimization Genetic Algorithms, Expectation Maximization, Simulated Annealing
Simulation Ensemble Statistical Mechanics (Monte Carlo Simulations), Particle Simulations (Molecular Dynamics), Finite Element Analysis, Multiphysics
Other Fuzzy logic and statistical classifiers, 3D computer graphics and image processing, Numerical calculus (e.g., iterative relaxation, Euler and Runge-Kutta Methods for solving differential equations)

Other Skills

Languages spoken

English
Fluency: ★ ★ ★ ★ ★
Tamil
Fluency: ★ ★ ★ ★ ★
Spanish
Fluency: ★ ★ ★ ★ ☆