Visiting Associate Professordepartment of Mathematics

Curriculum Vitae

Mark H. Inlow

Visiting Associate ProfessorDepartment of Mathematics

Rose-Hulman Institute of Technology

5500 Wabash Avenue

Terre Haute, IN 47803

Adjunct Associate ProfessorDepartment of Radiology and Imaging Sciences

Indiana University School of Medicine

950 West Walnut Street, E124

Indianapolis, IN 46202

Graduate Degrees:

Ph.D. (2001)StatisticsTexasA&M University

“On Techniques for Binary Response Modeling”Adviser: Emanuel Parzen

M.S. (1993)StatisticsSan Diego State University

“Recovery of Latent Variables via Entropy Minimization”Adviser: C.J. Park

Positions (1989 to present):

2015 – 2017Lead Data Analyst IAmerican Inst. for Research

2010 - 2015Associate Professor, MathematicsRose-Hulman Institute

2011 - presentAdjunct Associate ProfessorIU School of Medicine

2010 - 2011Visiting Associate ProfessorIU School of Medicine

2003 - 2010 Assistant Professor, MathematicsRose-Hulman Institute

2001 - 2003Mathematics VIGRE postdocUniversity of Arizona

1999 - 2000Graduate assistant lecturerTexasA&MUniversity

1997 - 1999Statistical technical supportStata Corporation

1997 - 1997Industrial statistics internDuPont Corporation

1995 - 1996Graduate assistant, non-teachingTexasA&MUniversity

1994 - 1996Research graduate assistantTexasA&MUniversity

1992 - 1994Statistician/programmerSAIC

1990 - 1992Statistical programmerGeo-Centers (at NHRC1)

1989 - 1990GS-9 StatisticianNPRDC2

1989 - 1990Graduate teaching assistantSan DiegoState University

1 Naval Health Research Center, San Diego, CA

2 Navy Personnel Research and Development Center, San Diego, CA

Consulting Experience:

IU School of Medicine, Consultant on NIH/NLM R01 grant(2013-2016): The goal of the grant, “Bioinformatics Strategies for Multidimensional Brain Imaging Genetics,” is to develop new methods for detecting relationships between high dimension brain images and high dimension genetic data in order to determine genetic correlates of brain diseases such as Alzheimer's disease.

TRGtech, Tire Consulting (2007): Analyzed tire tread wear data and developed tread wear prediction models as a subcontractor to a major tire company.

Sony DADC, Terre Haute, IN (2003): Analyzed ware house data and conducted a statistical audit to assess accuracy of inventory databases.

Salk Institute, La Jolla, CA (1992): Developed code to train backprop neural network to perform real-time alertness monitoring of sonar operators using EEG (brain waves).

Refereed Publications:

Most cited paper (348 citations, Google):

Makeig, S. and Inlow, M. Lapses in alertness: coherence of fluctuations in performance and EEG spectrum, Electroencephalography and clinical Neurophysiology, 1993, 86: 23-35. (

Other peer-reviewed publications(in reverse chronological order):

Shen L, Cong S, Inlow M (2017) Statistical shape analysis for brain structures. In Zhen G, Li S, Szekely G, editors. Statistical Shape and Deformation Analysis (1st Edition): Methods, Implementation and Application, Elsevier Inc., 2017.

Inlow M, Cong S, Risacher SL, West JD, Rizkall M, Salama P, Saykin AJ, Shen L, for the ADNI. (2016) A new statistical image analysis approach and its application to hippocampal morphometry. MAR’16: Medical Imaging and Augmented Reality, LNCS 9805 in press, Bern, Switzerland, August 24-26, 2016.

Yao X, Yan J, Kim S, Nho K, Risacher SL, InlowM, Moore JH, Saykin L, for the Alzheimer’s Disease Neuroimaging Initiative. (2016) Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics. In press,

pp 1-11, first online: 13 May 2016.

Du L, Huang H, Yan J, Kim S, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L, for the Alzheimer’s Disease Neuroimaging Initiative. (2016) Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Systems Biology. 10 Suppl 3:68.

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L, for the Alzheimers’ Disease Neuroimaging Initiative. (2015) Two-dimensional enrichment analysis for mining high-level imaging genetic associations. BIH 2015: International Conference on Brain Informatics & Health, Lecture Notes in Artificial Intelligence, 9250:115-124, London, UK, 30 August – 2 September 2015.

Du L, Yan J, Kim S, Risacher SL, Huang H, Inlow M, Moore JH, Saykin AJ, Shen L, for the ADNI. (2015) GN-SCCA: GraphNet sparse canonical correlation analysis for brain imaging genetics. BIH 2015: Special Session on Neuroimaging Data Analysis and Applications, Lecture Notes in Artificial Intelligence, 9250: 275-284, London, UK, 30 August – 2 September 2015.

Yan J, Du L, Kim S, Risacher SL, Huang H, Inlow M, Moore JH, Saykin AJ, Shen L, for the ADNI (2015 BoSCCA: Mining stable imaging and genetic associations with implicit structure learning. MICGEN 2015: MICCAI Workshop on Imaging Genetics, October 9, 2015.

Nho K, Ramanan V, Horgusluoglu E, Kim S, Inlow M, Risacher S, McDonald B, Farlow M, Foroud T, Gao S, Callahan C, Hendrie H, Niculescu A, Saykin A, for the Alzheimer’s Disease Neuromaging Initiative (ADNI) (2015) Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. Journal of Alzheimer’s Disease (in press).

Nho K, Kim S, Risacher S, Shen L, Corneveaux J, Swaminathan S, Lin H, Ramanan V,Liu Y, Foroud T, Inlow M, Siniard A, Reiman R, Aisen P, Petersen R, Green R, Jack C, Weiner M, Baldwin C, Lunetta K, Farrer L, Furney S, Lovestone S, Simmons A, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, McDonald B, Farlow M, Ghetti B, Huentelman M, Saykin A, for the Indiana Memory, Aging Study, for the Alzheimer's Disease Neuroimaging Initiative (ADNI), for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study and for the AddNeuroMed Consortium (2015) Protective variant for hippocampal atrophy identified by whole exome sequencing. Annals of Neurology, 77(3):547-52.

Du L, Yan J, Kim S, Risacher SL, Huang H, Inlow M, Moore JH, Saykin AJ, Shen L, for the ADNI (2014) A novel structure-aware sparse learning algorithm for brain imaging genetics. MICCAI’14: Med Image Comput Comput Assist Interv, Lecture Notes in Computer Science, 8675:329-336, Boston, MA, September 14-18, 2014.

Kim S, Swaminathan S, Inlow M, Risacher SL, Nho K, Shen L, Foroud TM, Petersen RC, Aisen PS, Soares H, Toledo JB, Shaw LM, Trojanowski JQ, Weiner MW, McDonald BC, Farlow MR, Ghetti B, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative (ADNI) (2013) Influence of genetic variation on plasma protein levels in older adults using a multi-analyte panel. PLoS One, 8(7): e70269. doi:10.1371/journal.pone.0070269.

Swaminathan S, Risacher SL, Yoder KK, West JD, Shen L, Kim S, Inlow M, Foroud T, Jagust WJ, Koeppe RA, Mathis CA, Shaw LM, Trojanowski JQ, Soares H, Aisen PS, Petersen RC, Weiner MW, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative (2013) Association of plasma and cortical beta-amyloid is modulated by APOE e4 status. Alzheimer’s & Dementia,

Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Liu Y, Foroud TM, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR, Weiner MW, Baldwin CT, Lunetta K, Farrer LA, for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study, Furney SJ, Lovestone SL, Simmons AS, Mecocci PM, Vellas B, Magda VB, Tsolaki M, Kloszewska I, Soininen H, for the AddNeuroMed Consortium, McDonald BC, Farlow MR, for the Indiana Memory and Aging Study, Huentelman MJ, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative (2013) Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in Mild Cognitive Impairment. Molecular Psychiatry, 18(7), 781-787.

Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Liu Y, Foroud TM, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR, Weiner MW, Baldwin CT, Lunetta K, Farrer LA, for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study, Furney SJ, Lovestone SL, Simmons AS, Mecocci PM, Vellas B, Magda VB, Tsolaki M, Kloszewska I, Soininen H, for the AddNeuroMed Consortium, McDonald BC, Farlow MR, for the Indiana Memory and Aging Study, Huentelman MJ, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative (2013) Identification of functional variants from whole-exome sequencing, combined with neuroimaging genetics. Molecular Psychiatry 18(7), 739.

Kim S, Nho K, Risacher SL, Inlow M, Swaminathan S, Yoder KK, Shen L, West JD, McDonald BC, Tallman EF, Hutchins GD, Fletcher JW, Farlow MR, Ghetti B, Saykin AJ (2013) PARP1 gene variation and microglial activity on [11C]PBR28 PET in older adults at risk for Alzheimer's disease. MBIA’13: MICCAI Workshop on Multimodal Brain Image Analysis, Lecture Notes in Computer Science, 8159:150-158, Nagoya, Japan, September 22, 2013.

Yan J, Huang H, Risacher SL, Kim S, Inlow M, Moore JH, Saykin AJ, Shen L, for the ADNI (2013) Network-guided sparse learning for predicting cognitive outcomes from MRI measures. MBIA’13: MICCAI Workshop on Multimodal Brain Image Analysis, Lecture Notes in Computer Science, 8159:202-210, Nagoya, Japan, September 22, 2013.

Swaminathan S, Shen L, Kim S, Inlow M, West J, Faber K, Foroud T, Mayeux, R, Saykin A, ADNI, and the NIA-LOAD/NCRAD Family Study Group. Analysis of copy number variation in Alzheimer’s disease: The NIA-LOAD/NCRAD family study. Current Alzheimer Research, Vol. 9, pp. 801-814, 2012.

Swaminathan S, Shen L, Risacher SL, Yoder KK, West JD, Kim S, Nho K, Foroud T, Inlow M, Potkin SG, Huentelman MJ, Craig DW, Jagust WJ, Koeppe RA, Mathis CA, Jack CR, Weiner MW, Saykin AJ, ADNI. Amyloid pathway-based candidate gene analysis of [11C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Brain Imaging and Behavior, Vol. 6, No. 1: 1-15, 2012.

Inlow, M. An Elementary Central Limit Theorem, Journal of Probability and Statistical Science, 2011, Vol. 9, No. 2: 199-203.

Wan J, Kim S, Inlow M, Nho K, Swaminathan S, Risacher SL, Fang S, Weiner M, Beg F, Wang L, Saykin AJ, Shen L, ADNI. (2011). Hippocampal surface mapping of genetic risk factors in AD via sparse learning models. Medical Image Computing and Computer-Assisted Intervention, Vol. 14 (Pt 2): 376-383, 2011.

Shen L, Kim S, Qi Y, Inlow M, Swaminathan S, Nho K, Wan J, Risacher SL, Shaw LM, Trojanowski JQ, Weiner MW, Saykin AJ and ADNI. (2011). Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net. MBIA 2011: International Workshop on Multimodal Brain Imaging Analysis, Lecture Notes in Computer Science (LNCS) 7012:27-34, Springer, Heidelberg, 2011.

Inlow, M. A Moment Generating Function Proof of the Lindeberg-Levy Central Limit Theorem, The American Statistician, 2010, Vol. 64, No. 3: 228– 230.

Inlow, M. On Normal Convergence Criteria for Sums of Row-wise Independent Random Variables, Journal of Statistical Research, 2010,Vol. 44, No. 2, pp. 289-292.

Inlow, M. Teaching the IID Assumption in Engineering Statistics I, Proceedings of the 2006 Annual ASEE Conference, 2006.

Grach, C., Yerushalmi, Y., Inlow, M. and Pener, M. The dark-colour-inducing neuro-

hormone of locusts: strain-dependent and phase-independent effects on adults of the

migratory locust, Locusta migratoria, Physiological Entomology, 2004, 29: 97-107.

Liu, X., Inlow, M. and VanEtten, H. Expression profiles of pea pathogenicity (PEP)

genes in vivo and in vitro, characterization of the flanking regions of the PEP cluster

and evidence that the PEP cluster region resulted from horizontal gene transfer in the

fungal pathogen Nectria haematococca, Current Genetics, 2003, 44: 95-103.

Oland, L., Pott, W., Howard, C., Inlow, M. and Buckingham, J. A diffusible signal

attracts olfactory sensory axons toward their target in the developing brain of the moth,

Journal of Neurobiology, 2003, Vol. 56, Issue 1: 24-40.

Makeig, S., Pantev, C., Schwartz, B., Inlow, M., Hampson, S. and Gallen, C. The

auditory complex event-related field to omitted steady-state probes. In: M. Hoke, et al

(Eds.), Biomagnetism Clinical Aspects. Elsevier, 1992: 165-169.

Inlow, M., Makeig, S., Pantev, C., Schwartz, B., Gallen , C. and Hampson, S. Estimationof the Complex Event-related Magnetic Field. Proceedings of the Annual InternationalConference of the IEEE Engineering in Medicine and Biology Society, 1991, 13:405-406.

Peer Reviewed Conference Abstracts:

Yao X, Kim S, Yan J, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L, and for the ADNI. (2015) Joint analysis of multiple amyloid imaging phenotypes in a genome wide association student of the ADNI cohort. IIGC’15: 11th International Imaging Genetics Conference, Irvine, CA, Jan 17-18, 2015.

Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Ramanan VK, Liu Y, Foroud T, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR, Weiner MW, Baldwin CT, Lunetta K, Farrer LA, for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study, Furney SJ, Lovestone S, Simmons A, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, for the AddNeuroMed Consortium, McDonald BC, Farlow MR Ghetti B, for the Indiana Memory and Aging Study, Huentelman MJ, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative (2013) Protective variant for rate of hippocampal volume loss identified by whole exome sequencing in APOE e3/e3 males with MCI. AAIC'13: Alzheimer's Association Int. Conf. on Alzheimer's Disease, Boston, MA, July 13-18, 2013.

Nho K, Corneveaux J, Kim S, Lin H, Risacher SL, Shen L, Liu Y, Foroud T, Inlow M, Siniard A, Reiman R, Clifford J, Weiner M, Huentelman M, Saykin AJ (2013) Integration of bioinformatics and imaging informatics for identifying variants from whole-exome sequencing. AMIA Joint Summits on Translational Science, San Francisco, CA, March 18-22, 2013.

Swaminathan S, Shen L, Kim S, Inlow M, West JD, Foroud T, Faber KM, Mayeux R, Saykin AJ, The NIA-LOAD/NCRAD Family Study Group. Analysis of copy number variation in Alzheimer's disease: the NIA-LOAD/NCRAD Family Study. ICHG 2011: 12th International Congress of Human Genetics. 10/11-15/2011, Montreal, Canada.

Kim S, Swaminathan S, Inlow M, Risacher SL, Shen L, Foroud T, Shaw LM, Trojanowski JQ, Soares H, Weiner MW, Saykin AJ, ADNI. Influence of genetic variation on plasma proteomics in AD, MCI and controls: Pairwise gene-protein analysis in the ADNI-1 cohort. AAIC 2011: International Conference on Alzheimer's Disease (ICAD), July 16-21, Honolulu Hawaii Paris, France.

Swaminathan S,Risacher SL, Yoder KK, West JD, Shen L, Kim S, Inlow M, Foroud T, Jagust WJ, Koeppe RA, Mathis CA, Shaw LM, Trojanowski JQ, Soares H, Aisen PS, Petersen RC, Weiner MW, Saykin AJ, ADNI. APOE E4 status modulates the association of plasma and cortical AB: Relation of plasma AB and [11C]PiB PET in the ADNI cohort. AAIC 2011: International Conference on Alzheimer's Disease (ICAD), July 16-21, Honolulu Hawaii Paris, France.

Technical Reports:

Venturini, R., Inlow, M., Elliott, F., Lytton, W., Makeig, S., and Sejnowski, T.

Monitoring Alertness Using Neural Networks. Naval HealthResearchCenter

Publication 94-29, 1994.

Renard, E., Clayton, J., Inlow, M., Hom, W. and Lee, S. Statistical Evaluations of Results of Testing Methods to Evaluate Performance of Chemical Dispersants for Oil Spills. Symposium on Hazardous Substances and Oil Spill Response, ASTM STP 1252,

American Society for Testing and Materials, Philadelphia, 1994.

Trejo, L., Inlow, M., Stanny, R., Morey, W., Makeig, S., Kobus, D. and Hillyard, S. The

P300 Component of the Auditory Event-related Potential: Interlaboratory Consistency

and Test-retest Reliability, Technical Report 91-06. Navy Personnel Research and

Development Center, San Diego, CA, 1991.

Makeig, S., Elliott, F.S., Inlow, M. and Kobus, D.A. Predicting lapses in vigilance using

brain evoked responses to irrelevant auditory probes, Technical Report 90-39. Naval

Health Research Center, San Diego, CA, 1990.

Presentations:

Inlow, M. New Mathematical and Statistical Analyses of Alzheimer’s Brain Atrophy, invited talk for the Rose-Hulman Institute of Technology Undergraduate Mathematics Conference, April, 2017.

Thomas, A., and Inlow, M. New Tests for Regression Error Autocorrelation. Presented at the Joint Statistical Meetings held in Boston, August, 2014.

Inlow, M.. Engineering Statistics: Some Thoughts on What to Teach and How. Presented for Statistics in Engineering Panel Discussion, ASEE Annual Conference, June, 2014.

Inlow, M. A New Nonparametric Information-splitting Image Analysis Technique, Rose-Hulman Mathematics Department Seminar, April, 2013.

Inlow, M., Wan, J., Kim, S., Nho, K., Risacher, S., Saykin, A., and Shen, L. A New Non- Parametric, Information-Splitting Image Analysis Technique. Presented at the Joint Statistical Meetings held in San Diego, August, 2012.

Inlow, M. A New Nonparametric Information-splitting Image Analysis Technique, invited talk for the Central Indiana Chapter of the American Statistical Association, June, 2012.

Inlow, M. Why Statistics? Invited talk for the 2006-2011 Statistics Career Days held at

IUPUI every November, 2006-2011.

Inlow, M. Moment Convergence Rates and Method of Moments Central Limit

Theorems via Induction, Rose-Hulman Mathematics Department Seminar, September, 2009.

Inlow, M. Elementary Central Limit Theorems via Mathematical Induction. Presented at the Joint Annual AMS-MAA Meeting, Washington, D.C., January, 2008.

Inlow, M. Two Applets for Teaching IID Sampling, Sampling Distributions, and the Central Limit Theorem. Presented at the Joint Annual AMS-MAA Meeting, Washington, D.C., January, 2008.

Inlow, M. Graphical Methods for Teaching and Assessing the IID Assumption. Presented at the Joint Annual AMS-MAA Meeting, New Orleans, January, 2007.

Inlow, M. Teaching the IID Assumption in Engineering Statistics I. Presented at the Annual ASEE Conference, Chicago, June, 2006.

Inlow, M.H. A New Class of Smooth Tests of Fit for Exponential Family (Koopman-Darmois) Distributions. Presented at the Joint Statistical Meetings held in Minneapolis, August, 2005.

Inlow, M.H. New Goodness-of-Fit/Goodness-of-Link Smooth Tests. Presented at the

8th North American New Researchers’ Conference in Statistics and Probability,

University of Minnesota, Minneapolis, August, 2005.

Inlow, M.H. New Goodness-of-Fit Smooth Tests for Exponential Family Distributions.

Presented at the Rose-Hulman Mathematics Seminar, May, 2005.

Inlow, M.H. Teaching the Different Interpretations of Probability. Presented at the Spring 2005 Meeting of the Indiana Section of the Mathematical Association of America,

IndianaUniversity-PurdueUniversity, Ft.Wayne, April, 2005.

Inlow, M.H. A New Generalization of Neyman’s Smooth Test and Its Application to

Testing Binary Response GLM Goodness of Link. Presented at the Joint Statistical Meetings held in San Francisco, August, 2003.

Lewis, G.W., Trejo, L.J., Naitoh, P., Blankenship, M.H., and Inlow, M.H. Temporal

Variability of the Neuromagnetic Evoked Field: Implications for Human Performance Assessment. Presented at the 7th International Conference on Biomagnetism held in New York City, August 14-18, 1989.

Student Presentations of Joint Work:

Thomas, A. New Tests For Autocorrelation: Improving Upon The Durbin-Watson Test Statistic. Presented at the 31st Annual Rose-Hulman Conference on Undergraduate Mathematics, Rose-Hulman Institute of Technology, Terre Haute, April, 2014.

Winner of Best Presentation Contest.

Reyes, E. Do Dogs Really Know Calculus? Presented at the 23rd Annual Rose-Hulman

Conference on Undergraduate Mathematics, Rose-Hulman Institute of Technology, Terre Haute, April, 2006.

Reyes, E. Do Dogs Really Know Calculus? Presented at the Fall 2005 Meeting of the Indiana Section of the Mathematical Association of America, DePauwUniversity, Greencastle, November, 2005.

Reyes, E. Do Dogs Really Know Calculus? Presented at the Rose-Hulman Mathematics Seminar, October, 2005.

Guerard, J., Inlow, M., Avery, A., and Miller, P. Probing the Photochemical Transformation of Dissolved Organic Matter from an Antartic Lake Using UV/VIS Absorption Spectrophotometry. Presented at the Fifth Annual Indiana Local American Chemistry Society Section Poster Session, DePauw University, Greencastle, October, 2004.

Workshops attended:

8th Annual Advanced Psychometrics Workshop, Friday Harbor, WA, June 6-11, 2011.

8th North American New Researchers’ Conference in Statistics and Probability, University of Minnesota, Minneapolis, MN, August 2-6, 2005.

NSF ISCAT Immersion Workshop: “A Data-Oriented, Active-Learning, Post-Calculus Introduction to Statistical Concepts, Applications, and Theory.” California State PolytechnicUniversity, San Luis Obispo, CA. June 21-25, 2004.

Courses taught (Undergraduate):

Introductory Statistics Courses (San Diego State University, TexasA&MUniversity,

University of Arizona, and Rose-Hulman, 1989-2015)

Business Mathematics (University of Arizona)

Engineering Statistics II (Rose-Hulman)

Introduction to Probability with Statistical Applications (Rose-Hulman)

Matrix Algebra and Systems of Differential Equations (Rose-Hulman)

Statistical Programming using R and SAS (Rose-Hulman)

Regression and Time Series Analysis (Rose-Hulman)