ASSISTANT PROFESSOR @HILLSDALE COLLEGE
Second hire helping to build a computer science program. Wrote compile-time map and unorderd_map implementations in C++23.

SENIOR SOFTWARE ENGINEER @WOLVERINE TRADING
Wrote low-latency C++ for use in options trading. Benchmarked techniques at nanosecond level and developed strategies for improving latency of core trading systems. Found and made >10% speedup to overall trade latency, applicable to all company trading engines. Scored 92.6% on options trading final exam.

SENIOR MACHINE LEARNING SCIENTIST @A-ALPHA BIO
Solved problems and created machine learning tools and models at scale. Programming in C++, Python, basic GPU/multi-GPU computing, using Amazon EC2. Pioneered successful ML strategy for custom Ab design: As first ML hire, designed core ML stack and models (sole author as of Aug 2022); the current version of this ML platform is now branded as "AlphaBind®". Built other critical infrastructure and maths capabilities at a Series A startup company. Designed and implemented the company's generative AI infrastructure for antibodies. Scaled inference to >1B Ab sequences. Designed and implemented new algorithms for solving combinatoric problems that arise in Ab engineering, DNA synthesis, expression, discovery, and statistical analysis. Contributed to a successful fundraising cycle. Discovered simple generalization of Wasserstein distance using higher moments. In passing, invented novel, simple linear algorithm for selection on a list. Designed company t-shirt for 2021.

ASSISTANT PROFESSOR @UNIVERSITY OF MONTANA
DEPT. OF COMPUTER SCIENCE, COLLEGE OF HUMANITIES AND SCIENCES
Wrote object oriented software in C, C++, and python. Developed new algorithms for combinatoric problems, including a novel, optimal algorithm for selection on Cartesian products. My implementation (written with students) of this algorithm powers the current fastest exact isotope calculator. Instructor of record for algorithms, optimization of C++ code, and cybersecurity. Created basic C++ vector class for primitive data that is ~7x faster than std::vector. With student, wrote template-recursive, AVX512 Strassen-Winograd implementation outperforming BLAS. Mentored graduate and undergradaute students. Taught six unique course preps. Wrote >700 pages of publicly available course notes, including on algorithms and on C++. Created The Junior Guide to Combinatorial Chemistry, a client-side interactive webpage that teaches basic programming from up to dynamic programming and teaches basic chemistry and physics up to relativistic mass defect. Awarded over 1.8M USD in total grant funding (direct + indirect).

FACULTY AFFILIATE @UNIVERSITY OF MONTANA
DEPT. OF BIOCHEMISTRY

JUNIORPROFESSOR (W1, PROF. DR.) / CHAIR OF METAGENOMICS @FREIE UNIVERSITÄT BERLIN
DEPT. OF BIOINFORMATIK / INFORMATIK / MATHEMATIK
Taught three unique course preps. Mentored graduate students. Wrote object oriented software in C++. Created C++ cache-oblivious bit-reversal method for template-recursive FFT. Created new moment-based approximation algorithm for building fast semiring algorithms like max-convolution. Created C++ engine for inference on probabilistic cardinal graphical models. Wrote a template-recursive C++ library for efficient operations on tensors.

GUEST SCIENTIST @LEIBNIZ INSTITUTE FOR FRESHWATER ECOLOGY AND INLAND FISHERIES (IGB)

WORKING ON P-NORM SEMIRING APPROXIMATION

SOFTWARE RESEARCH SCIENTIST @THERMO FISHER SCIENTIFIC
Wrote software in C# and C++. Built dynamic programming algorithms for cardinal graphical models, shipped in Thermo Fisher's Proteome Discoverer™. Optimized existing code. Prepared a patent, and helped protect against infringement of existing IP.

LECTURER @UNIVERSITÄT BREMEN
Developed a course in scientific computing.

RESEARCH FELLOW @HARVARD MEDICAL SCHOOL & BOSTON CHILDREN'S HOSPITAL
DEPT. OF NEUROBIOLOGY AND DEPT. OF PATHOLOGY
ADVISORS: PROF. JUDITH STEEN & PROF. HANNO STEEN
Wrote object oriented software in C++ and python. Created de novo mass spectrometry algorithms. Wrote and implemented a Dirichlet-based goodness of fit measure for determining the location of diminishing returns in false discovery rate curves.

VISITING SCIENTIST @UNIVERSITY OF SÃO PAULO ESALQ
DEPT. OF AGRONOMY
LAB OF PROF. ANTONIO AUGUSTO FRANCO GARCIA

PH.D. STUDENT @UNIVERSITY OF WASHINGTON
DEPT. OF GENOME SCIENCES
ADVISOR: PROF. WILLIAM NOBLE
THESIS: ``PRACTICALLY EFFICIENT GRAPHICAL BAYESIAN ALGORITHMS FOR INFERENCE ON MASS SPECTROMETRY DATA FROM PROTEOMICS''
THESIS IN ≈1 MINUTE AS STOP MOTION VIDEO

TECHNICIAN @NORTH CAROLINA STATE UNIVERSITY
LABS OF PROF. JEFF THORNE, PROF. BRUCE WEIR

B.S. COMPUTER ENGINEERING @NORTH CAROLINA STATE UNIVERSITY
SENIOR DESIGN PROJECT: EPISTATIC ASSOCIATION MAPPING WITH UNDERDETERMINED SAMPLE SIZES USING NEURAL NETWORKS [ADVISED BY PROF. HIROHISA KISHINO @UNIVERSITY OF TOKYO]

"PERFORMING SELECTION ON A MONOTONIC FUNCTION IN LIEU OF SORTING USING LAYER-ORDERED HEAPS"
K. LUCKE, J. PENNINGTON, P. KREITZBERG, L. KÄLL, O. SERANG

"EPIFANY: A METHOD FOR EFFICIENT HIGH-CONFIDENCE PROTEIN INFERENCE"
J. PFEUFFER, T. SACHSENBERG, T. DIJKSTRA, O. SERANG, K. REINERT, O. KOHLBACHER

"ALPHABET PROJECTION OF SPECTRA"
P. KREITZBERG, M. BERN, Q. SHU, F. YANG, O. SERANG

"TRIOT: FASTER TENSOR MANIPULATION IN C++11"
F. HEYL & O. SERANG

"YEAST MEMBRANE PROTEOMICS USING LEUCINE METABOLIC LABELLING: BIOINFORMATIC DATA PROCESSING AND EXEMPLARY APPLICATION TO THE ER-INTRAMEMBRANE PROTEASE YPF1"
L. NILSE, D. AVCI, P. HEISTERKAMP, O. SERANG, M. LEMBERG, O. SCHILLING

"THE SOLUTION TO STATISTICAL CHALLENGES IN PROTEOMICS IS MORE STATISTICS, NOT LESS"
O. SERANG & L. KÄLL

"A FAST NUMERICAL METHOD FOR MAX-CONVOLUTION AND THE APPLICATION TO EFFICIENT MAX-PRODUCT INFERENCE IN BAYESIAN NETWORKS"
O. SERANG

"THE PROBABILISTIC CONVOLUTION TREE: EFFICIENT EXACT BAYESIAN INFERENCE FOR FASTER LC-MS/MS PROTEIN INFERENCE"
O. SERANG

"SNP GENOTYPING ALLOWS AN IN-DEPTH CHARACTERIZATION OF THE GENOME OF SUGARCANE AND OTHER COMPLEX AUTOPOLYPLOIDS"
A.A.F. GARCIA, M. MOLLINARI, T. MARCONI, O. SERANG, R. SILVA, R. VICENTINI, E. COSTA, M. MANCINI, M. GARCIA, M. PASTINA, R. GAZAFFI, P. BUNDOCK, R. HENRY, M. SLUYS, M. LANDELL, M. CARNEIRO, M. VINCENTZ, L. PINTO, R. VENCOVSKY, A.P. SOUZA

"NONPARAMETRIC BAYESIAN EVALUATION OF DIFFERENTIAL PROTEIN QUANTIFICATION"
O. SERANG, A.E. CANSIZOGLU, L. KÄLL, H. STEEN, J.A. STEEN

"QUANTITATIVE SNP GENOTYPING OF POLYPLOIDS WITH MASSARRAY AND OTHER PLATFORMS"
O. SERANG, M. MOLLINARI

"SWEETSEQER: SIMPLE DE NOVO FILTERING AND ANNOTATION OF GLYCOCONJUGATE MASS SPECTRA"
O. SERANG*, J. FROEHLICH*, J. MUNTEL, G. MCDOWELL, H. STEEN, R. LEE, J.A. STEEN
*CONTRIBUTED EQUALLY

"A CLASSIFIER BASED ON ACCURATE MASS MEASUREMENTS TO AID LARGE-SCALE, UNBIASED GLYCOPROTEOMICS"
J. FROEHLICH, E. DODDS, M. WILHELM, O. SERANG, J.A. STEEN, R. LEE

"A NON-PARAMETRIC CUTOUT INDEX FOR ROBUST EVALUATION OF IDENTIFIED PROTEINS"
O. SERANG, J. PAULO, H. STEEN, J.A. STEEN

"CONCERNING THE ACCURACY OF FIDO AND PARAMETER CHOICE"
O. SERANG

"CONIC SAMPLING: AN EFFICIENT METHOD FOR SOLVING LINEAR AND QUADRATIC PROGRAMMING BY RANDOMLY LINKING CONSTRAINTS WITHIN THE INTERIOR"
O. SERANG

"RECOGNIZING UNCERTAINTY INCREASES ROBUSTNESS AND REPRODUCIBILITY OF MASS SPECTROMETRY-BASED PROTEIN INFERENCES"
O. SERANG, L. MORUZ, M. HOOPMANN, L. KÄLL

"FASTER MASS SPECTROMETRY-BASED PROTEIN INFERENCE: JUNCTION TREES ARE MORE EFFICIENT THAN SAMPLING AND MARGINALIZATION BY ENUMERATION"
O. SERANG & W.S. NOBLE

"A REVIEW OF STATISTICAL METHODS FOR PROTEIN IDENTIFICATION USING TANDEM MASS SPECTROMETRY"
O. SERANG & W.S. NOBLE

"EFFICIENT MARGINALIZATION TO COMPUTE PROTEIN POSTERIOR PROBABILITIES FROM SHOTGUN MASS SPECTROMETRY DATA"
O. SERANG, M. MACCOSS, W.S. NOBLE

"MEDIAN OF HEAPS: LINEAR-TIME SELECTION BY RECURSIVELY CONSTRUCTING BINARY HEAPS"
O. SERANG

"ADVERSARIAL NETWORK TRAINING USING HIGHER-ORDER MOMENTS IN A MODIFIED WASSERSTEIN DISTANCE"
O. SERANG

"PRACTICALLY EFFICIENT METHODS FOR PERFORMING BIT-REVERSED PERMUTATION IN C++11 ON THE x86-64 ARCHITECTURE"
C. KNAUTH, B. ADAS, D. WHITFIELD, X. WANG, L. ICKLER, T. CONRAD, O. SERANG

DIXSEE
AN ONLINE WORD GAME COMBINING BINARY SEARCH WITH LEVENSHTEIN DISTANCE.

"ALGORITHMS IN PYTHON" [TEXT]
O. SERANG

"AN INTRODUCTION TO CYBERSECURITY" [TEXT]
O. SERANG

"CODE OPTIMIZATION IN C++11" [TEXT]
O. SERANG

"EXPONENTIAL PARTIAL ORDERINGS, LARGEST TERMS IN POLYNOMIAL PRODUCTS, AND COMPUTING ISOTOPE ABUNDANCES"

"MACHINE LEARNING FOR MASS SPECTROMETRY AND FOR Ab DISCOVERY"

"AN OPTIMAL ALGORITHM FOR SELECTION ON X+Y: LAYER-ORDERED HEAPS AND THE CURRENT FASTEST ISOTOPE CALCULATOR FOR CHEMICAL COMPOUNDS"

"AN OPTIMAL ALGORITHM FOR GENERATING THE SMALLEST K VALUES IN A CARTESIAN SUM"

"BIG DATA HUNTING CLUB"

"TRIOT: FASTER TENSOR MANIPULATION IN C++11"

"APPROXIMATING ALGORITHMS ON SEMIRINGS BY EXTRAPOLATING MOMENTS VIA FAST ALGORITHMS ON L_p SPACES"

"ALGORITHMS FOR PROCESSING HIGH-DIMENSIONAL DISTRIBUTIONS"

"ANALYSIS OF *OMICS DATA: NEW DYNAMIC PROGRAMMING ALGORITHMS FOR PUTTING THE LEGOS BACK TOGETHER"

[FACULTY PANELIST IN CAREER ROUNDTABLE DISCUSSION]

"LOW-LEVEL OPTIMIZATIONS IN COMPUTATIONAL BIOLOGY: REACHING FOR THE HIGHER-HANGING FRUIT"

"EVERGREEN: INSIDE AN ENGINE FOR FAST BAYESIAN INFERENCE"

"EXPLOITING SYMMETRIES TO PERFORM FAST P-NORM INFERENCE FOR PROTEOMICS"

"AN ENGINE FOR FASTER BAYESIAN ANALYSIS"

"DYNAMIC PROGRAMMING FOR BAYESIAN METAGENOMICS: CONVOLUTION TREES, FAST MAX-CONVOLUTION, A NOVEL APPROACH TO SORTING X+Y, AND FASTER ALL-PAIRS SHORTEST PATHS SOLUTION"

"THE NECESSARILY COMPUTATIONAL AND STATISTICAL FUTURE OF PROTEOMICS"

"A FAST AND GENERIC INFERENCE ENGINE FOR PROTOTYPING AND HARNESSING GRAPHICAL MODELS"

"FAST COMBINATORICS AND THE ANALYSIS OF BIG DATA IN MS/MS"

"FAST NUMERICAL MAX-CONVOLUTION: A FAST NEW NUMERICAL METHOD FOR THE GRAPHICAL BAYESIAN ANALYSIS OF META*OMICS MIXTURES"

"PUTTING THE LEGOS BACK TOGETHER AGAIN: A FORMAL FRAMEWORK FOR CHARACTERIZING METAGENOMIC MIXTURES"

"THE CONVOLUTION TREE: A NEW SUBQUADRATIC DYNAMIC PROGRAMMING ALGORITHM"

"THE COMBINATORIC CHALLENGES OF SHARED DATA IN *OMICS AND META*OMICS"

"THE CONVOLUTION TREE: A SUBQUADRATIC DYNAMIC PROGRAMMING ALGORITHM FOR EXACT PROBABILISTIC INFERENCE"

"THE REVOLUTION WILL NOT BE PARAMETERIZED: NONPARAMETRICS AND THE NEXT GENERATION OF VALIDATION FOR HIGH-THROUGHPUT PROTEOMICS"

"THE REVOLUTION WILL NOT BE PARAMETERIZED: ROBUST GRAPHICAL INFERENCE ON HIGH-THROUGHPUT DATA AND A NONPARAMETRIC BAYESIAN ALTERNATIVE TO KULLBACK-LEIBLER DIVERGENCE AND THE KOLMOGOROV-SMIRNOV TEST"

"AVOIDING ARBITRARY PARAMETERS IN QUANTITATIVE PROTEOMICS: IS `DIFFERENTIAL' A 1.1-FOLD OR 1.2-FOLD CHANGE?"

"A GENERIC GRAPHICAL METHOD FOR USING EMPIRICAL NULL DISTRIBUTIONS IN THE ROBUST EVALUATION OF DISCOVERIES"

"UNBIASED NONPARAMETRIC EVALUATION OF PROTEIN IDENTIFICATIONS IN SHOTGUN PROTEOMICS: 1 PEPTIDE IN 2 REPLICATES OR 2 PEPTIDES IN 1 REPLICATE?"

"A GRAPHICAL, NONPARAMETRIC BAYESIAN APPROACH FOR THE ROBUST DECOMPOSITION OF MIXTURES"

"A GRAPHICAL BAYESIAN APPROACH TO MASS SPECTROMETRY-BASED PROTEIN IDENTIFICATION"

"ROBUST NONPARAMETRIC EVALUATION OF PROTEIN IDENTIFICATIONS IN SHOTGUN PROTEOMICS"

"EFFICIENT EXACT MAXIMUM A POSTERIORI COMPUTATION FOR BAYESIAN SNP GENOTYPING IN POLYPLOIDS"

"GRAPHICAL MODELS"

"A PRACTICALLY EFFICIENT GRAPH-THEORETIC APPROACH TO PROTEIN IDENTIFICATION IN MASS SPECTROMETRY"

"A PRACTICALLY EFFICIENT GRAPH-THEORETIC APPROACH TO PROTEIN IDENTIFICATION IN MASS SPECTROMETRY"

"A PRACTICALLY EFFICIENT GRAPH-THEORETIC APPROACH TO PROTEIN IDENTIFICATION IN MASS SPECTROMETRY"

"A PROBABILISTIC ALGORITHM FOR PROTEIN IDENTIFICATION USING A SIMPLE, REALISTIC MODEL THAT RECOGNIZES DEGENERACY"

"PROTEIN IDENTIFICATION WITH LINEAR OPTIMIZATION"

@THE UNIVERSITY OF MONTANA:

• PI, NSF CAREER: STATISTICAL METHODS AND ALGORITHMS FOR THE ANALYSIS OF COMBINATORIAL MASS SPECTROMETRY DATA (NSF, VALUE $751,309 DIRECT, $1,052,460 TOTAL)
• CO-PI*, OVERCOMING COMBINATORIC COMPLEXITY PROBLEMS IN COMPUTATIONAL MASS SPECTROMETRY (NSF, VALUE $751,309 TOTAL)
  *CHANGE OF PI AFTER AWARDED SIMULTANEOUS WITH NSF CAREER GRANT
• PI, COBRE GRANT, GRAPHICAL MODELS FOR COMPUTATIONAL BIOLOGY (NIH, VALUE $40716 DIRECT, $56916 TOTAL)
• PI, UM PILOT PROJECT GRANT, DEVELOPMENT OF EVERGREENFOREST GRAPHICAL MODELS LIBRARY (VALUE $4928)

@THE UNIVERSITY OF MONTANA:

• ALGORITHMS: SPRING 2021
• COMPUTATIONAL LINGUISTICS: SPRING 2021
• COMPUTATIONAL BIOLOGY: AUTUMN 2020
• INTRODUCTION TO CYBERSECURITY: AUTUMN 2020
• ALGORITHMS: SPRING 2020
• NATURAL LANGUAGE PROCESSING: SPRING 2020
• SOFTWARE OPTIMIZATION: AUTUMN 2019
• INTRODUCTION TO CYBERSECURITY: AUTUMN 2019
• ALGORITHMS: SPRING 2019
• COMPUTATIONAL BIOLOGY / BIOINFORMATICS: SPRING 2019
• INDEPENDENT STUDY (COMPILER DESIGN): AUTUMN 2018
• INTRODUCTION TO COMPUTING IN THE SCIENCES: AUTUMN 2018
• COMPUTATIONAL BIOLOGY / BIOINFORMATICS: AUTUMN 2018
• INDEPENDENT STUDY (COMPILER DESIGN): SPRING 2018
• ALGORITHMS: SPRING 2018
• SOFTWARE OPTIMIZATION: AUTUMN 2017

@FREIE UNIVERSITÄT BERLIN:

• SCIENTIFIC COMPUTING: WINTER 2016
• SCIENTIFIC COMPUTING: SUMMER 2016
• SCIENTIFIC COMPUTING: WINTER 2015
• ALGORITHMS (WITH PROF. ALEXANDER BOCKMAYR): WINTER 2016
• ALGORITHMS (WITH PROF. ALEXANDER BOCKMAYR): WINTER 2015
• OPTIMIZATION (WITH PROF. ALEXANDER BOCKMAYR): WINTER 2015
• INTRODUCTION TO ADVANCED BIOLOGY (GUEST LECTURER): WINTER 2015

@UNIVERSITÄT BREMEN AND @BREMEN UNIVERSITY OF APPLIED SCIENCES:

• SCIENTIFIC COMPUTING: SPRING 2014

@UNIVERSITY OF WASHINGTON:

• CSI: SEATTLE (TEACHING ASSISTANT TO PROF. CELESTE BERG AND PROF. BONNY BREWER): SUMMER 2009
• INTRODUCTION TO GENETICS (TEACHING ASSISTANT TO PROF. MARY KUHNER): SPRING 2008

@UNIVERSITY OF MONTANA

• MASTERS THESIS COMMITTEE, ANDRÉ GILAN (COMPUTER SCIENCE): DEFENSE 2021
• MASTERS THESIS COMMITTEE, MICHAEL MORRIS (MATHEMATICS): DEFENSE 2021
• MASTERS ADVISOR, KYLE LUCKE (COMPUTER SCIENCE): DEFENSE 2021
  Kyle's masters thesis upends the usual metrics used to evaluate mass spectrometry protein inference, moving to a superior ensemble approach. In the absence of strong protein-specific priors, it also uses symmetry to establish a space of measures for scoring peptide assignments. Using a moment-based format for the protein-peptide graph, this approach is used to motivate a convolutional neural network model for protein inference.
• MASTERS ADVISOR, JAKE PENNINGTON (MATHEMATICS): DEFENSE 2021
  Jake's (Rooster's) masters thesis derives an optimal point on the continuum of orderedness for some algorithms, such as computing the most abundant isotopes in a chemical compound. It also includes a demonstration of a novel method for estimating big-theta runtimes when master theorem and Akra-Bazzi cannot be applied.
• PH.D. ADVISOR, PATRICK KREITZBERG (COMPUTER SCIENCE): 2019 -- 2021 (ADVISING CONTINUED BY FACULTY OF UM MATHEMATICS)
• MASTERS ADVISOR, PATRICK KREITZBERG (COMPUTER SCIENCE): DEFENSE 2019
  Patrick's masters thesis is a phenomenal reference on using LP, QP, relaxations of those, and fast algorithms for de novo mass spectrometry inference.
• PH.D. THESIS COMMITTEE, NHAN NGUYEN (MATHEMATICS): DEFENSE 2018
• MASTERS THESIS COMMITTEE, ALEXANDER NORD (COMPUTER SCIENCE): DEFENSE 2018

@FREIE UNIVERSITÄT BERLIN

• SUPERVISOR, XIAO LIANG (VISITING PH.D. STUDENT, FREIE UNIVERSITÄT BERLIN): 2015 - 2016
• SUPERVISOR, JULIANUS PFEUFFER (VISITING PH.D. STUDENT, UNIVERSITÄT TÜBINGEN): 2015 - 2016
  Julianus and I developed a numeric approximation reminiscent of the fast multipole algorithm for approximating the semiring (\mathbb{R},\max,\times) [or (\mathbb{R},\max,+)] with rings on (\mathbb{R},+,\times) [or (\mathbb{R},\max,+)]. This is relevant to max-product inference, to graph problems such as APSP, and to softmax functions in neural networks.
• PH.D. THESIS COMMITTEE, KONSTANTIN OKONECHNIKOV (PH.D. DER BIOINFORMATIK): DEFENDED 2015
• PH.D. THESIS COMMITTEE, FRANZISKA ZICKMANN (PH.D. DER BIOINFORMATIK): DEFENDED 2015
  

@OTHER INSTITUTIONS

• MASTERS THESIS COMMITTEE, TRAVIS BINGEMAN (MOLECULAR MICROBIOLOGY, UNIVERSITY OF CALGARY): DEFENSE 2019

• VOLUNTEER, POTOMAC SCHOOL, 2021
  POTOMAC, MONTANA
• INSTRUCTOR, SpectrUM SUMMER CAMP, 2021
  MISSOULA, MONTANA
• VOLUNTEER, POTOMAC SCHOOL, 2019
  POTOMAC, MONTANA
• VOLUNTEER, LEWIS AND CLARK ELEMENTARY SCHOOL, 2019
  MISSOULA, MONTANA
• MENTOR, SENIOR HIGH SCHOOL SCIENCE FAIR PROJECT (NES LEGEND OF ZELDA REMAKE), ALEKSI ANDERSON, 2018-2019 SCHOOL YEAR
  MISSOULA, MONTANA
• INSTRUCTOR, UNIVERSITY OF MONTANA COMPUTER SCIENCE SUMMER SCHOOL FOR HIGH SCHOOL STUDENTS, 2018
  MISSOULA, MONTANA
• VOLUNTEER, UNIVERSITY OF MONTANA HIGH SCHOOL ALL-STAR CHOIR, 2018
  MISSOULA, MONTANA
• VOLUNTEER, LEWIS AND CLARK ELEMENTARY SCHOOL, 2018
  MISSOULA, MONTANA
• ``EXPLORING SCIENTIFIC WILDERNESS'' PODCAST MINISERIES, 2017-2018
• VOLUNTEER, MATH DAY (HIGH K-12 OUTREACH), 2017
  MISSOULA, MONTANA
• PRE-KINDERGARTEN SCIENCE TUTORIALS BOSTON CHILDREN'S HOSPITAL, 2012
  BOSTON, MASSACHUSETTS
• HIGH SCHOOL MENTOR ("AUTOMATED CELL IDENTIFICATION IN MICROSCOPE IMAGES") NORTHWEST ASSOCIATION FOR BIOMEDICAL RESEARCHERS (NWABR), AUTUMN 2010 -- SPRING 2011
  SEATTLE, WASHINGTON
• VOLUNTEER, PACIFIC SCIENCE CENTER, 2010
  SEATTLE, WASHINGTON
• VOLUNTEER, PACIFIC SCIENCE CENTER, 2007
  SEATTLE, WASHINGTON

Advances in Bioinformatics
Analytical Chemistry
Annals of Applied Statistics
Australian & New Zealand Journal of Statistics
Bayesian Analysis
Bioinformatics
BMC Bioinformatics
CELL Systems
Conference on Systems Bioinformatics (CSB)
Genetics
German Conference for Bioinformatics (GCB)
IEEE Transactions on Signal Processing
International Conference on Machine Learning (ICML)
International Joint Conference on Artificial Intelligence (IJCAI)
International Society for Computational Biology (ISMB)
Journal of Proteome Research
Molecular Biology of the Cell
Nature Methods
Neural Information Processing Systems (NIPS)
Nucleic Acids Research
PLOS Computational Biology
PLOS ONE
PROTEOMICS
Proteome Science
RECOMB
Statistics in Medicine
Theoretical and Applied Genetics

NATURE SCIENTIFIC DATA [EDITORIAL BOARD MEMBER, 2018- ]
PLOS COMPUTATIONAL BIOLOGY [GUEST EDITOR, 2017]

FRENCH NATIONAL RESEARCH AGENCY (ANR) [FRENCH EQUIVALENT TO AMERICAN NIH]

• UNIVERSITY WRITING COMMITTEE MEMBER
  UNIVERSITY OF MONTANA, 2020-2021
  MISSOULA, MONTANA
• UNIT STANDARDS COMMITTEE MEMBER
  UNIVERSITY OF MONTANA, 2018
  MISSOULA, MONTANA
• STUDENT EVALUATION COMMITTEE FACULTY ADVISOR
  DEPARTMENT OF COMPUTER SCIENCE
  UNIVERSITY OF MONTANA, 2017-2021
  MISSOULA, MONTANA
• CONFERENCE SESSION CHAIR (SESSION "INFORMATICS: ALGORITHMIC AND STATISTICAL ADVANCES")
  AMERICAN SOCIETY FOR MASS SPECTROMETRY (ASMS), 2015
  ST. LOUIS, MISSOURI
• CONSULTANT ON GRAPH ANALYSIS AND CLUSTERING ALGORITHMS FOR ANALYZING GLOBAL ECONOMIC ACTIVITY
  INTERNATIONAL MONETARY FUND (IMF), 2013
  WASHINGTON, D.C.

• CONTRIBUTION BONUS
  WOLVERINE TRADING
  2024 (POST RESIGNATION)
• INVENTION BONUS
  A-ALPHA BIO
  2023 (POST RESIGNATION)
• RESEARCH BONUS
  THERMO FISHER SCIENTIFIC
  2016 (POST RESIGNATION)
• PUSHCART PRIZE NOMINEE, "SECONDHAND SMOKER"
  NOMINATED BY THE CHICAGO CENTER FOR LITERATURE AND PHOTOGRAPHY
  2016
  
• IEEE SOFTWARE ENGINEERING TEAM CONTEST, FOURTH PLACE
  2004
• UNDERGRADUATE RESEARCH AWARD
  NORTH CAROLINA STATE UNIVERSITY
  2004
• HOWARD HUGHES SUMMER RESEARCH AWARD
  2002
• FRESHMAN ENGINEERING DESIGN COMPETITION (COMPILER CATEGORY), FIRST PRIZE
  DEPARTMENT OF ENGINEERING, NORTH CAROLINA STATE UNIVERSITY
  2002
• NATIONAL MERIT SCHOLAR
  2002 -- 2006
• MATHEMATICS SCHOLARSHIP AWARD
  2002
• BEST UNDERGRADUATE PAPER, "AN INVESTIGATION OF FINITE METHODS IN INFINITE PROBLEM SOLVING THROUGH ADAPTATION"
  AMERICAN ASSOCIATION OF PHYSICS TEACHERS
  2002
• WAKE FOREST UNIVERSITY MATH CLUB CONTEST WINNER
  WAKE FOREST UNIVERSITY
  2001

• AT OCEAN [NOVEL], 2016
• SECONDHAND SMOKER [SHORT STORY], 2015
• STAY CLOSE, LITTLE GHOST [NOVEL], 2013