BCB Welcomed Prospective Students

February 26, 2017

The Bioinformatics and Computational Biology Graduate program welcomed 8 visitors to the Iowa State University campus to meet faculty and students and to learn about what this PhD program offers.  Thirty BCB faculty members met with the visitors during the March 2-4 event.  Current BCB students hosted the visitors at a March 2 dinner, a March 3 luncheon and a March 4 breakfast to give them a thorough overview of what they can expect if offered admission to the program.

We were happy to welcome these students to campus for this visit.  Thanks for joining us !

Sharmistha Chakrabortty

Toledo, OH

BS and MS in Biochem, Genetics and in Biotech from Bangalore Univ.

M.S. in Bioinformatics, Proteomics and Genomics from the Univ of Toledo

Photo of Shamistha Chakrabortty

 

She is interested in genomics, transcriptomics, non-coding RNA, Epigenetics, Stem Cells, Cancer, NGS, Biomarker Research

Her itinerary during her visit to Iowa State and BCB will include meetings with BCB faculty members: Walter Moss, Geetu Tuteja, Don Sakaguchi, Chris Tuggle, Steven Cannon and Roger Wise.

 

RESEARCH PROJECTS

 

M.S thesis project, Fedorov Lab , University of Toledo (2016 – 2017)

--Determination of correlation between the genetic diversity (density of SNPs) and recombination rate in Human Genome using GEMA (Genome Evolution and Matrix Algorithm) computational modelling program.

--Demonstration of effect of different parameters such as recombination rate, selection pressure (measured by number of offspring per couple per generation), Dominance coefficient of genes (co-dominant, recessive, and dominant mode of genes), and distribution of mutation in natural population by their effect (deleterious, beneficial and neutral mutation) on genetic diversity.

--Demonstration of the effect of two evolutionary selective forces namely Genetic Hitchhiking and Background Selection, on genetic diversity (through linked SNPs) under different experimental conditions.

 

Research project on population and evolutionary genetics, Fedorov Lab (2015 - 2016)

--SNP analysis, characterization of haplotypes and populations specific data from 1000 Genomes project, and Denisovan sequencing project for determination of origin of modern human population (using Perl scripts).

--Application of machine learning algorithms for classification, clustering, and pattern searching for reconstruction of ancient human lineages (using WEKA, Rapid Miner).

 

Research project on ultra-conserved region and non-coding RNA, Fedorov Lab (2016-2017)

--Analysis and characterization of tissue specific expression patterns of novel ultraconserved elements in human and other model organisms, and identification of putative non-coding RNA in human genome (using public available database, phylogenetic analysis, and sequence alignment algorithm).

 

BIOINFORMATICS AND STATISTICAL SKILLS

--Microarray and RNA-Seq data analysis

--SNP data analysis.

--Pairwise-sequence and multiple sequence alignment.

--Gene expression and pathway analysis platforms.

--Experience with biological databases (1000 Genome, SRA, etc).

--Phylogenetic analysis (MUSCLE, CLUSTALW, MEGA).

--Machine learning algorithms (dimensionality reduction, classification, clustering and decision tree based approaches).

--Parametric and non-parametric statistical tests.

 

PUBLICATIONS

--Rajib Dutta; Joseph Mainsah; Yuriy Yatskiv; Sharmistha Chakrabortty; Basil Khuder; Patrick Brennan; Shuhao Qiu; Larisa Fedorova; Alexei Fedorov, Intricacies in arrangement of SNP haplotypes suggest "Great Admixture" that created modern human, BMC Genomics (In Review).

--Siva Koganti, Carissa Clark, Jizu Zhi, Xiaofan Li, Emily Chen, Sharmistha Chakrabortty, Erik Hill, and Sumita Bhaduri-McIntosh, Cellular STAT3 functions via PCBP2 to restrain EBV lytic activation in B lymphocytes, JVI. 2015 May;89(9):5002-11. doi: 10.1128/JVI.00121-15.

--Sharmistha Chakrabortty, Sourav Bhattacharya* and Arijit Das, Optimization of process of parameters for Chitinase production by a marine isolate of Serratia marcescens, IJPBS / Volume 2 / Issue 2 / APRIL-JUNE / 2012 / 08-20.

--Correlation between genetic diversity and recombination rate in natural human populations (MS thesis project, manuscript in preparation).

 

PROGRAMMING SKILLS

--Programming languages: Perl, R, C, C++, Java.

--Operating systems: Windows, Linux.

--Database management system: Oracle.

 

WETLAB EXPERIENCE

--Cell biology: animal and microbial cell culture, Flow-cytometry.

--Model organism: Drosophila handling and maintenance, breeding experiments.

--Microscopy: RNA-FISH, fluorescent and confocal microscopy.

--Molecular biology: molecular cloning, transfection (siRNA, shRNA) PCR, qRT PCR, DNA and RNA isolation, gel electrophoresis, PAGE, Blotting techniques.

 

Yulu Chen

West Lafayette, IN

 

B.S. from China Ag Univ., Beijing, China in Forage and Grassland Science

 

M.S. from Purdue University, West Lafayette, IN, in Animal Science

Photo of Yulu Chen

 

She is interested in the transcriptome, sequencing analysis, develop statistical methods and bioinformatics methods to solve biology problem

During her visit, she will meet with BCB Faculty members: Julie Dickerson, Drena Dobbs, Jim Reecy, Chris Tuggle, Geetu Tuteja, Iddo Friedberg, and Karin Dorman.

 

Research Experience -- March 2016 – Present

Graduate Research Thesis

– Research on the effect of high fat diet on mouse mammary transcriptome during lactation.

– The objective in this study was to take advantage of using RNA-Seq and small RNA-seq high-throughput technology to provide a comprehensive transcriptome profiling of the mouse lactating mammary gland.

– Responsible for data processing and next generation sequencing (NGS) data analysis.

 

Graduate AGRY600 Genomics Course Project -- August 2016 – Present

– Analysis of M. roreri mitochondrial genome.

– Quality analysis and preprocessing of NGS data using FASTQC and TRIMMOMATIC, followed by K-mer size prediction and Genome Assembly to compare different assembly programs.

– Conduct transcriptome analysis: including data preprocessing, reference genome analysis, De novo transcriptome assembly, differential expression and KEGG Pathway and GO analysis.

 

Graduate STAT512 Applied Regression Analysis Course Project April 2016

– Worked on the effect of punishment regimes on crime rates using aggregate data on 47 states of the USA for 1960.

– Used SAS to develop a good model to analyze data collected to determine the effect of punishment regimes on crime rates.

 

Graduate Laboratory Research -- August 2015 – March 2016

– Investigated the role of the clock in regulation of growth and differentiation of the mammary gland. Publication resulted.  See below.

 

Graduate ANSC514 Animal Biotechnology Course Project -- August 2015 – December 2015

– Used Tophat, Cufflink and CummerBund to analyze and visualize the differential gene expression from the data set of

“Variation in the Ovine Abomasal Lymph Node Transcriptome between Breeds Known to Differ in Resistance to the

Gastrointestinal Nematode”.

 

Undergraduate Research Thesis -- August 2014 – April 2015

– Researched the selection and optimization of molecular markers for Melilotus.officinalis and M.alba.

 

Teaching Experience – Fall 2016

Teaching assistant for ANSC444 Dairy Management

 

Publications

– Co-authored publication: Casey, T*, Crodian, J, Suárez-Trujillo, A, Erickson, E, Weldon, B, Crow, K Cummings, S Chen, Y

Shamay, A, Mabjeesh, SJ and Plaut, K. 2016. CLOCK Regulates Mammary Epithelial Cell Growth and Differentiation.

American Journal of Physiology - Regulatory, Integrative and Comparative Physiology Published 5 October

2016 Vol. no., DOI: 10.1152/ajpregu.00032.2016

-- Chen, Y1., Yang, S1., Crodian, J1., Kuang, S1., Wang, J2., Gribskov, M2., Plaut, K1., and Casey, T1. Maternal high-fat diet significantly impacts milk miRNA and mRNA content of lactating mice. (in progress)

 

Skills

Software:

--JMP, SAS, SPSS, R, Unix commands, MS Office Suite

Biological experiment skills:

--Mammalian cell culture including routine passaging and growth curve analysis, PCR, q-PCR, ELISA, Western Blot analysis, Bradford assays; rodent handling including weighing, milking and injections.

 

Sarah Elliott

Kansas City, MO

 

B.A. from the Univ of UT in Biology

 

PhD from the Univ of UT in Neurobiology and Anatomy; Dissertation: “Studies of conserved cell-cell signaling pathways in the planarian, Schmidtea mediterranea.” Advisor: Dr. Alejandro Sánchez Alvarado

Photo of Sarah Elliott

She is interested in genomics and bioinformatic tool development

Sarah will meet with BCB Faculty members: Geetu Tuteja, Justain Walley, Patrick Schnable, Dennis Lavrov, and Nicole Valenzuela.

 

 PUBLICATIONS (*Co-authorship)

1) Elliott SA, McClain M, Seidel C, Vu HTK, Rink JC, Gurley KA, Sánchez Alvarado, A. “Notch signaling generates epidermal cell diversity, sustains sensory organs, and maintains the midline in planarians.” In preparation.

2) Elliott SA & Sánchez Alvarado A. “Planarians and the history of animal regeneration: Paradigm shifts and key concepts in biology.” Planarian Regeneration: Methods and Protocols. Methods in Molecular Biology. Springer: New York. Accepted.

3) Vidyanand S*, Marepally S*, Elliott SA, Lakshmanan V, Baid S, Bansal D, Sánchez Alvarado A, Vemula PK, Palakodeti D. “Notch pathway modulated by miR-124c is critical for axon guidance during planarian brain regeneration.” Submitted.

4) Accorsi A, Williams MM, Ross EJ, Robb SMC, Elliott SA, Tu KC, Sánchez Alvarado A. “Hands-on classroom studies of regeneration and stem cell biology using freshwater planarians.” The American Biology Teacher. In press.

5) Elliott SA & Sánchez Alvarado A. “The history and enduring contributions of planarians to the study of animal regeneration.” WIRES: Developmental Biology. 2013 May/June; 2(3): 301–326.

6) Yu S, Poe B, Schwarz M, Elliott SA, Albertine KH, Fenton S, Garg V, Moon AM. “Fetal and postnatal lung defects reveal a novel and required role for Fgf8 in lung development.” Developmental Biology. 2010 Nov 1;347(1):92-108.

7) Gurley KA*, Elliott SA*, Simakov O, Schmidt HA, Holstein TW, Sánchez Alvarado A. “Expression of secreted Wnt pathway components reveals unexpected complexity of the planarian amputation response.” Developmental Biology. 2010 Nov 1;347(1):24-39.

 

CONFERENCES & TALKS

09/2015 3rd North American Planarian Meeting. Poster. Chicago, IL, USA.

07/2014 Gordon Research Conference on Notch Signaling in Development and Disease. Poster. Lewiston, ME, USA.

05/2013 2nd North American Planarian Meeting. Poster. Kansas City, MO, USA.

11/2011 21st CDB Meeting & 1st CDB-Regeneration Biology Study Group “Regeneration Biology to Regenerative Medicine (I).” Poster. Kobe, Japan.

11/2011 1st International Planarian Regeneration Research Meeting. Poster. Kyoto, Japan.

11/2010 5th International Meeting of the Latin American Society for Developmental Biology. Poster. Santa Cruz, Chile.

10/2010 Functional Stem Cell and

 

TEACHING EXPERIENCE

2009 and 2011-2015 – Marine Biological Laboratory; Woods Hole, MA -- Teaching Assistant: Embryology Course

2010 – Latin American Society for Developmental Biology; Santiago, Chile -- Teaching Assistant: Short Course: Concepts & Model Organisms in Regenerative Biology

 

CONFERENCES & TALKS

09/2015 3rd North American Planarian Meeting. Poster. Chicago, IL, USA.

07/2014 Gordon Research Conference on Notch Signaling in Development and Disease. Poster. Lewiston, ME, USA.

05/2013 2nd North American Planarian Meeting. Poster. Kansas City, MO, USA.

11/2011 21st CDB Meeting & 1st CDB-Regeneration Biology Study Group “Regeneration Biology to Regenerative Medicine (I).” Poster. Kobe, Japan.

11/2011 1st International Planarian Regeneration Research Meeting. Poster. Kyoto, Japan.

11/2010 5th International Meeting of the Latin American Society for Developmental Biology. Poster. Santa Cruz, Chile.

 

COMMITTEES & SERVICE

2016 Smithsonian Institution Digital Volunteer

2013 Lab Tour Guide, Stowers Institute for Medical Research

2012 Keystone Conference Assistant, Symposia on Regenerative Tissue Engineering and Transplantation, Breckenridge, CO

2009 Graduate Student Retreat Co-Organizer, Molecular Biology & Biochemistry Program, University of Utah

2008-2009 Student Advisory Committee, Department of Neurobiology and Anatomy, University of Utah

Basil Khuder

Maumee, OH

 

B.A. in Psychology from the Univ. of Toledo

 

Certificate in Biostatistics and Epidemiology, The Univ of Toledo

M.S. in Bioinformatics/Proteomics, and Genomics from the Univ of Toledo

Photo of Basil Khuder

During his visit, Basil will meet with BCB faculty members: Walter Moss, Geetu Tuteja, Xiaoqiu Huang, Nicole Valenzuela, and Heike Hofmann.

Research Interests: Noncoding RNA, Genetics, Genomics and Epigenomics, Proteomics, Gene Regulation and Processing, Machine Learning and Artificial Intelligence.

 

Research:

Master's Thesis: Analysis of Ultra-Conserved Intronic Regions of Mammalian Fat-Mass and Obesity Gene (FTO)

 

  • Constructed a model to define expression levels of FTO intronic elements across multiple tissues, sequencing libraries, and species.
  • Used publicly available databases to analyze a wide variety of sequencing data including SRA, FASTQ, and SAM/BAM.
  • Created PERL Scripts to identify specific nucleotides of interest within sequencing files.

 

 

Project in Laboratory of Dr. Robert Blumenthal:  Investigation of Specific DNA-Methylation Sites.

 

  • Analysed RNA-Seq and WGBS data from the ENCODE project to investigate methylation sites across endodermal and ectodermal tissue.
  • Using the Genome Analysis Toolkit, SAMTools and Picard Tools, raw sequencing reads were mapped/aligned, and variant-calling was then conducted to produce VCF files.
  • Variant annotation using the Variant Effect Predictor was then completed, and variants of interest were studied further.

 

Publications

Intricacies in Arrangement of SNP Haplotypes Suggest "Great Admixture" That Created Modern Humans

BMC Genomics (Under Review) Authors: Rajib Dutta; Joseph Mainsah; Yuriy Yatskiv; Sharmistha Chakrabortty; Basil Khuder; Patrick Brennan; Shuhao Qiu; Larisa Fedorova; Alexei Fedorov

 

 

Organizations

Founder and Lead Director, Young Data Scientists of America (www.ydsoa.org)

 

--YDSOA is an online collaboration of young data scientists from around the United States. Our mission is to educate, empower and connect those new to data science and those looking to get immersed in this ever-evolving field.

Zachary Lozier

Jeffersonville, IN

 

B.S. in Secondary Ed and Life and Physical Science Education from Indiana Univ. Southeast

 

Photo of Zach Lozier

He is interested in biodiversity, genetics, genomics, evolution

During his visit, Zach will meet with BCB faculty members: Jonathan Wendel, Robert Jernigan, Erik Vollbrecht, Crystal Lu, Matt Hufford, and Alex Travesset.

 

Projects and Research

Spring 2017 -- Designing an introductory level bioinformatics course for college freshmen or AP high school students. Research into this topic has just begun, with a draft due to the professor on February 23rd 2017 and the final draft due on April 1st 2017.

 

Spring 2015 -- I worked with a professor as a student research assistant in a study aimed at estimating the population of two variants of the peppered moth: the white and black variant and the black variant. The study wished to assess the effects the local distilleries manufacturing processes had on the surrounding forests. During this time, I placed and retrieved moth traps and assisted in determining captured specimens’ species.

Designed an experiment to determine the effects of various wavelengths of light on Alaskan snow pea plant growth. Peas were imbibed under dark conditions and grown under specified light conditions. Measurements included plant length, leaf number, and leaf color.

 

Fall 2014 -- I assisted in conducting an ecological survey of Bear Grass Creek Greenway in Louisville, KY. The study focused on developing an estimate of the various species of trees present in the greenway, with information on their sizes and estimations of their ages. Additional information was gathered on the various animal species residing in the greenway, although far less extensive than the information gathered about the trees. I also conducted a water quality test quantifying the presence of E. coli.

 

Spring 2013 -- Successfully recombined the plasmid PBR322 within Escherichia coli with the pGFPuv gene while enrolled in a genetics course at Indiana University Southeast. The project involved analyzing the DNA sequence of PBR322 in order to insert pGFPuv gene into areas of antibiotic resistance within the PBR322 plasmid. The recombined plasmid was then cloned within a colony of E. coli. After having been cloned, the recombination was tested for success by swabbing colonies onto petri dishes infused with antibiotics. Out of 10 satellite sites swabbed and transferred, 9 were successful.

 

Professional Experience

Spring 2017 -- Plant Physiology Supplemental Instructor, Indiana University Southeast

Reinforces topics covered by the teaching professor for a Plant Physiology course. Works closely with the teaching professor to address student needs.

 

Winter 2016 – Present -- DNA Sequencing Technician, Eurofins Genomics, Louisville, KY

Processes incoming shipments per laboratory protocol. Enters necessary information into order tracking system. Maps and builds 96-well plates for DNA sequencing. Prepares stock reaction mixtures.

 

Spring 2016 -- Student Teacher, New Albany High School

Completed 10 weeks of student teaching in a high school classroom where I was assigned to teach biology, chemistry, and physics to high school students. Work primarily consisted of planning lessons, units, designing coursework, writing quizzes and tests, and grading papers.

 

Spring 2015 – Fall 2015  -- Molecular Biology Supplemental Instructor, Indiana University Southeast

Reinforced topics covered by the teaching professor for a Molecular Biology course. Presented information in a variety of ways to students, gathering information from personal experience with the course as well as outside sources.

 

Technical Skills

I have had extensive training and education in the field of biology. I have taken courses involving lab and field work including General Biology 1 & 2, Genetics, General Chemistry, Organic Chemistry 1 & 2, Evolution, Plant Physiology, Ecology, and Entomology. I understand standard lab and field procedures, disposal protocol, and safety measures. Additionally, during my classes at Indiana University Southeast, I have acquired experience with the following equipment and techniques:

--Pipetting

--Micropipetting (specifically with the P20 and P200)

--Primer design

--Cloning

--Thermocycler

--PCR

--DNA extraction and purification

--PBR322

--Centrifuge

--Vortex mixer

--Gel electrophoresis

--Southern blotting

--DNA recombination

--Tree age estimation

--Population estimates of different species

--Water testing

--Research writing

--Python programming language

--MS Access SQL

 

Yanqiu Shao

Dallas, TX

 

B.S. from Zhejiang Gongshang Univ in Math and Applied Math

 

M.S., Southern Methodist Univ in Applied Statistics and Data Analytics

 

She is interested in statistics, genomics and cell biology

During her visit to BCB and Iowa State, she will be meeting with BCB faculty members: Iddo Friedberg, Nicole Valenzuela, Drena Dobbs, Fred Janzen and Karin Dorman.

 

Research Experience:

Bayesian Hierarchical Modeling Project, Nov. 2016 to Dec 2016

--Proposed two Bayesian logistic models on the topics of Multiple Drugs Combination Effect

--Set basic Bayesian model with flat prior and hierarchical Bayesian model and simulated in Rstan

--The Bayesian result was better than the frequentist result.

 

Warrior Project in S.M.A.R.T. Program, Oct. 2016 to Nov. 2016

--Used SAS to find the significant improvement in cognitive training efficiency from pre- and post-data set

--Worked with Center for BrainHealth, The University of Texas at Dallas

 

Blackjack Game Simulation, Nov. 2016 to Dec. 2016

--Wrote R code to simulated the gambling procedures and calculated the game results under 21 strategies

 

Tips Analysis for Boro Taxi, May 2016

--Applied logistic regression model to compare attributes between customers who gave higher tips and others

--Constructed Multilinear Regression to find the relationship between tips amount and critical variables

--Used Model Validation and the low misclassification rate suggested the model has a good fitting result

--Analyzed by SAS

 

Work Experience:

Associate Researcher, MillwardBrown, Sept. 2014 to June 2015, Shanghai, China

--Worked with Unilever China Ice Cream Category

--Analyzed data for advertisements to help clients optimize commercial effects

--Tracked monthly database and analyzed clients’ brand position in national market

 

Teaching Assistant, Southern Methodist University, Jan. 2016 to Present, Dallas, TX

--Taught course, Intro to Stat Computing SAS, and Statistics for Engineers

 

Computer Skills:

--Skilled in R, SAS, C, Matlab

Huiyun Sun

Emporia, Kansas

 

B.S., Nanjing Univ., in Biological Sciences

 

M.S. from Emporia State Univ in Biology; concentration in Microbial and Cellular Biology

 

 

She is interested in Molecule interactions, structural biology, cell biology, genomics, biomolecular modeling, and functional genomics, and functional metagenomics.

During her visit, she will be meeting with BCB Faculty members: Drena Dobbs, Iddo Friedberg, Gregory Phillips, Chris Minion, Karin Dorman and Jack Dekkers.

 

Research Experiences

 

Differential activation of P53 downstream genes in malignant melanoma cells with different genetic context, Department of Biological Science, Emporia State University, 2016 to present

--Examining the dynamic activation patterns of P53 protein downstream genes in response to the UV irradiation in melanoma cells with different genetic context.  By comparing the activation patterns of p53 downstream genes in p53 or other mutant melanoma cell lines with the pattern in p53 wild type cell lines, we expect to identify some gene targets for developing novel therapeutic strategy aiming to restore the deregulated p53 network in malignant melanoma.

--Huiyun has strong interest and motivation to learn bioinformatics tool and establish models and simulations using computational cell biology approaches. After completing experiment work, her mentor and she will try to build a model for the p53 network regulation in different genetic context.

--Oral presentation in the Three Minute Thesis competition on 2016 Research and Creativity Day of Emporia State University

--Poster presented in 2016 General Meeting of the American Society for Cell Biology held in San Francisco, CA

 

Synergism of Dam, MutH, and MutS in Methylation-directed Mismatch Repair in Escherichia coli, Department of Biological Sciences, Nanjing University, 2015-2016

--Observe the mutation frequency of the E.coli with different deficiency of components in DNA mismatch repair system

 

Theoretical analysis of the molecular binding mechanism of SBF-1 and Bcr-Abl tyrosine kinase, Department of Biological Sciences, Nanjing University, 2015

--Using MOE and iGEMDOCK to simulate the binding site of SBF-1 to Abl tyrosine kinase and the key amino acids of interactions

 

Membership

American Society of Cell Biology (ASCB)

 

Publications:

--Hu, C., Zhao, Y., Sun, H., Yang, Y. Synergism of Dam, MutH, and MutS in Methylation-directed Mismatch Repair in Escherichia coli. Mutation Research (doi: 10.1016/j.mrfmmm.2016.12.002)

--Sun, H., Yu, C., and Yang, Y. Differential Activation of P53 Downstream Genes in Malignant Melanoma Cells with Different Genetic Context. 2016 General Meeting of American Society for Cell Biology (abstract)

 

International Exchange Experience

--UC Davis, 2014 Summer Session, 2014

 

Paul Villanueva

Costa Mesa, CA

 

B.S. from CA State Univ, Long Beach in Mathematics with a minor in ComS

 

 

He is interested in genomics, machine learning but open to many research projects

BCB Faculty he will be meeting during his visit to Iowa State include: David Fernandez-Baca, Xiaoqiu Huang, Eric Henderson, and Robert Jernigan.

 

Research and Teaching Experience

Researcher, California State University, Long Beach, January 2016.

Research conducted in knot theory with Dr. Ryan Blair. Created a novel definition of bridge number and used it to investigate the meridional rank conjecture and other results in the field. Used computer aided computations to investigate open problems in knot theory. Funded by the PUMP URG Grant.

 

Research Assistant, California State University, Long Beach, Fall, 2016.

Research conducted with Dr. Vennila Krishnan and Dr. Shadnaz Asgari. Analyzed motion capture data, EMG signals, and accelerometer readings for patterns which would enable an earlier diagnosis of, among other neurological diseases, multiple sclerosis. Assisted in data collection and signal processing. Will later assist with writing machine learning code.

 

Instructional Student Assistant, California State University, Long Beach, Fall, 2016.

Graded homework assignments, projects, and tests (both written and coded) for CECS 328: Data Structures and Algorithms.

 

Work History

Summer 2016 -- Informatics Intern, IIHR - Hydroscience and Engineering, Iowa City, Iowa.

Created a novel method of collecting stream level readings using smartphone sensors. Reviewed current stream level monitoring technologies. Researched image recognition, machine learning, and multiple view geometry techniques for possible applications to stream level monitoring. Developed a phone application to measure river gage height

for use in conjunction with Iowa Flood Information System. Gave a presentation sharing results.

 

2010 – 2013 Assistant General Manager, Bank of America, Westminster, CA.

Managed the day-to-day operations and long-term planning for the Westminster banking center.

Duties:  Managed a staff of ~30 associates. Interviewed, hired, and trained associates in all roles. Led weekly and daily meetings to deliver company news, refocus banking center performance, and celebrate associate success. Wrote weekly and monthly schedules to meet customer volume, labor targets, and associate availabilities. Led training sessions whenever a new product was launched or a new system was implemented. Managed banking center reserve cash supply of ~$1,000,000. Created long-term development plans for associates in all roles. Responsible for obtaining outside sales.

 

Talks

8/2016 -- Virtual Stream Monitoring via Crowdsourcing, IIHR Weekly meeting, Iowa City, IA                                                                                                                                                                            

 

Memberships

2013 – Alpha Gamma Sigma Honor Society, Orange Coast College Chapter.

2015 – National Alliance for Doctoral Studies in the Mathematical Sciences.

The Alliance is an "NSF funded community of math sciences faculty and students" whose goal is to "increase the number of doctoral degrees in the mathematical sciences among groups that have been traditionally underrepresented."

2015 – American Mathematical Society.

2016 – American Geophysical Union.

 

Miscellaneous

Programming Languges: C++, Java, Python, SQL, MATLAB

Typesetting: LATEX

Haijuan Zhang

Ames, IA

 

B.S., ISU, in Stat and Math

B.A., Heibei North University, English Education, 2009

 

 

 

She is interested in bioinformatics and mathematical biology

Haijuan is a student here at Iowa State and will be meeting with BCB faculty member Dr. Amy Vincent.

 

Research Experiences

Quality Score Analysis for the next generation sequencing in statistical and computational methods under the mentorship of Dr. Karin Dorman at Iowa State University. "Lost Generation" Analysis in American Literature at Hebei North University.

 

Projects

Nonseasonal Time Series Analysis: Analyzed monthly data of the number of fatal crashes in Iowa from 1999 to 2013, estimated the best fitting model according to statistical graphs and parameters, predicted the trend of fatal crashes in Iowa for the next few years, provided useful information to improve solutions for reducing the fatal crash rate in Iowa.

 

Seasonal Time Series Analysis: Analyzed quarterly data of GDP from 2000 to 2014 in China, estimated the best fitting model for collected data in statistical method, forecasted the trend of GDP in China for the next two decades; comprehensive understanding of economic conditions and policies in China.

 

Multivariate Analysis and Variable Selection: Analyzed how baseball players' performance related to their salaries. Chose salaries as the dependent variable and, performance index (categorical and numerical) as the independent variables. Selected the statistically significant independent variables and fitted the best model to predict baseball players' salaries.

 

Image Segmentation in R: Interpreted a color image into data in R, cut out the object in the foreground from the image's background by programming in R.

 

Skills

R, SAS, JAVA, JMP, LATEX

 

Working Experiences

Volunteer at the Chinese Association of Iowa State University

Taught Chinese at Iowa Chinese School

Secretary and Translator at Shijiazhuang Huitong Xiangli Trade Co., Ltd.

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